{
  "id": 516405,
  "title": "Extended leaderboard (invalid!)",
  "url": "/competitions/the-future-crop-challenge/discussion/516405",
  "author_name": "",
  "post_date": "2024-07-02T12:00:33.583953Z",
  "votes": 3,
  "comment_count": 4,
  "views": 0,
  "content": "<p><strong>Due to a bug in the code, this leaderboard isn't correct - see the new <a href=\"https://www.kaggle.com/competitions/the-future-crop-challenge/discussion/522309\" target=\"_blank\">post</a> instead!</strong></p>\n<p>We're not only looking for the best performance in terms of RMSE, but also in terms of how well the models can capture the variability of annual production in breadbasket regions (Iowa for maize, Germany for wheat). Furthermore, as we find that often models overfit spatially but don't manage to get the temporal variability at each gridcell, we also measure the median R2 over all gridcells.</p>\n<p>Starting this week, we plan to calculate the scores on these metrics for the validation years (2020-2050) and share the results at ~weekly intervals, so you can see how well your models are performing.</p>\n<p>The number next to your first name or initial indicates which of your submissions this represents - 1 would be the first you submitted, etc. Bold denotes the top three entries for that particular metric.</p>\n<p>Should we consider other metrics as well? Interested in your thoughts!</p>\n<p><strong>Don't forget - to enter the competition it's compulsory to share your code. Please make your notebooks public or contact us to share!</strong></p>\n<table>\n<thead>\n<tr>\n<th>Submission</th>\n<th>Validation Median R2</th>\n<th>Validation Iowa R2</th>\n<th>Validation Germany R2</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>Abdelghani7</td>\n<td><strong>-0.0387</strong></td>\n<td>0.5556</td>\n<td>0.0839</td>\n</tr>\n<tr>\n<td>K10</td>\n<td><strong>-0.1658</strong></td>\n<td>0.4537</td>\n<td><strong>0.235</strong></td>\n</tr>\n<tr>\n<td>K8</td>\n<td><strong>-0.1658</strong></td>\n<td>0.4537</td>\n<td><strong>0.235</strong></td>\n</tr>\n<tr>\n<td>Divya1</td>\n<td><strong>-0.1808</strong></td>\n<td>0.4543</td>\n<td><strong>0.1801</strong></td>\n</tr>\n<tr>\n<td>Abdelghani5</td>\n<td>-0.2021</td>\n<td>-0.5034</td>\n<td>-0.0258</td>\n</tr>\n<tr>\n<td>Abdelghani11</td>\n<td>-0.2712</td>\n<td>-0.5237</td>\n<td>-0.0151</td>\n</tr>\n<tr>\n<td>Abdelghani4</td>\n<td>-0.2722</td>\n<td>-0.5479</td>\n<td>-0.2447</td>\n</tr>\n<tr>\n<td>Lilybelle3</td>\n<td>-0.3237</td>\n<td>0.4267</td>\n<td>0.0434</td>\n</tr>\n<tr>\n<td>Abdelghani2</td>\n<td>-0.3422</td>\n<td>0.5622</td>\n<td>0.1389</td>\n</tr>\n<tr>\n<td>Abdelghani1</td>\n<td>-0.3422</td>\n<td><strong>0.5622</strong></td>\n<td>0.1389</td>\n</tr>\n<tr>\n<td>Lilybelle4</td>\n<td>-0.3586</td>\n<td>-2.8099</td>\n<td>-0.0279</td>\n</tr>\n<tr>\n<td>Jonathan3</td>\n<td>-0.4632</td>\n<td>-3.6195</td>\n<td>0.0592</td>\n</tr>\n<tr>\n<td>Jonathan1</td>\n<td>-0.4632</td>\n<td>-3.6195</td>\n<td>0.0592</td>\n</tr>\n<tr>\n<td>Jonathan2</td>\n<td>-0.4874</td>\n<td>-3.6378</td>\n<td>0.0373</td>\n</tr>\n<tr>\n<td>Monique5</td>\n<td>-0.5523</td>\n<td><strong>0.6535</strong></td>\n<td>0.1653</td>\n</tr>\n<tr>\n<td>Monique8</td>\n<td>-0.5618</td>\n<td>0.513</td>\n<td>-0.0133</td>\n</tr>\n<tr>\n<td>Monique7</td>\n<td>-0.5618</td>\n<td>0.513</td>\n<td>-0.0133</td>\n</tr>\n<tr>\n<td>Monique3</td>\n<td>-0.5799</td>\n<td><strong>0.6531</strong></td>\n<td>0.0391</td>\n</tr>\n<tr>\n<td>Abdelghani6</td>\n<td>-0.6225</td>\n<td>-0.8669</td>\n<td>-0.3743</td>\n</tr>\n<tr>\n<td>Lilybelle2</td>\n<td>-0.6497</td>\n<td>0.3706</td>\n<td>0.0267</td>\n</tr>\n<tr>\n<td>Monique6</td>\n<td>-0.6833</td>\n<td>-0.0321</td>\n<td>-0.033</td>\n</tr>\n<tr>\n<td>JasonTarzan2</td>\n<td>-0.723</td>\n<td>0.148</td>\n<td>-0.008</td>\n</tr>\n<tr>\n<td>K5</td>\n<td>-0.7393</td>\n<td>0.453</td>\n<td>-12.0148</td>\n</tr>\n<tr>\n<td>Abdelghani9</td>\n<td>-0.7879</td>\n<td>0.003</td>\n<td>-0.069</td>\n</tr>\n<tr>\n<td>JasonTarzan1</td>\n<td>-0.7972</td>\n<td>0.1843</td>\n<td><strong>0.1715</strong></td>\n</tr>\n<tr>\n<td>JasonTarzan3</td>\n<td>-0.8373</td>\n<td>0.4139</td>\n<td>-0.0457</td>\n</tr>\n<tr>\n<td>K6</td>\n<td>-0.9618</td>\n<td>0.4275</td>\n<td>-15.2131</td>\n</tr>\n<tr>\n<td>Monique1</td>\n<td>-1.046</td>\n<td>-0.0292</td>\n<td>-0.2779</td>\n</tr>\n<tr>\n<td>K2</td>\n<td>-1.1718</td>\n<td>-2.6885</td>\n<td>-1.1253</td>\n</tr>\n<tr>\n<td>K9</td>\n<td>-1.232</td>\n<td>-2.4394</td>\n<td>-1.8217</td>\n</tr>\n<tr>\n<td>JasonTarzan4</td>\n<td>-1.2402</td>\n<td>0.294</td>\n<td>-0.1699</td>\n</tr>\n<tr>\n<td>JasonTarzan5</td>\n<td>-1.3462</td>\n<td>-1.1281</td>\n<td>-0.6062</td>\n</tr>\n<tr>\n<td>K1</td>\n<td>-1.4378</td>\n<td>-3.2419</td>\n<td>-1.2659</td>\n</tr>\n<tr>\n<td>Monique9</td>\n<td>-1.5162</td>\n<td>-0.0122</td>\n<td>-0.2779</td>\n</tr>\n<tr>\n<td>Monique4</td>\n<td>-1.5162</td>\n<td>-0.0122</td>\n<td>-0.2779</td>\n</tr>\n<tr>\n<td>Abdelghani8</td>\n<td>-1.5554</td>\n<td>-2.8191</td>\n<td>-41.4001</td>\n</tr>\n<tr>\n<td>Monique2</td>\n<td>-2.9386</td>\n<td>-1.2431</td>\n<td>-8.4138</td>\n</tr>\n<tr>\n<td>Thomas1</td>\n<td>-3.2773</td>\n<td>-1.8043</td>\n<td>-15.2508</td>\n</tr>\n<tr>\n<td>Abdelghani10</td>\n<td>-5.2269</td>\n<td>-8.2214</td>\n<td>-23.0564</td>\n</tr>\n<tr>\n<td>Abdelghani3</td>\n<td>-5.3518</td>\n<td>-8.1132</td>\n<td>-22.5979</td>\n</tr>\n<tr>\n<td>Abdelghani12</td>\n<td>-5.3518</td>\n<td>-8.1132</td>\n<td>-22.5979</td>\n</tr>\n<tr>\n<td>Lilybelle1</td>\n<td>-5.3518</td>\n<td>-8.1132</td>\n<td>-22.5979</td>\n</tr>\n<tr>\n<td>K4</td>\n<td>-8.2054</td>\n<td>-27.6892</td>\n<td>-28.0561</td>\n</tr>\n<tr>\n<td>K7</td>\n<td>-24.7473</td>\n<td>-0.2668</td>\n<td>-55.0121</td>\n</tr>\n<tr>\n<td>K3</td>\n<td>-4786.0087</td>\n<td>-37598.0004</td>\n<td>-12626.6688</td>\n</tr>\n</tbody>\n</table>\n<p><a href=\"https://www.kaggle.com/abdelghanibelgaid\" target=\"_blank\">@abdelghanibelgaid</a> <a href=\"https://www.kaggle.com/knarenderreddy\" target=\"_blank\">@knarenderreddy</a> <a href=\"https://www.kaggle.com/divyasitani\" target=\"_blank\">@divyasitani</a> <a href=\"https://www.kaggle.com/jonathanwider\" target=\"_blank\">@jonathanwider</a> <a href=\"https://www.kaggle.com/picsoflily\" target=\"_blank\">@picsoflily</a> <a href=\"https://www.kaggle.com/jasontarzan\" target=\"_blank\">@jasontarzan</a> <a href=\"https://www.kaggle.com/lobsterjesus\" target=\"_blank\">@lobsterjesus</a> </p>\n<p><em>Note: baseline model submissions from co-organisers (Lily, Monique, Thomas) aren't eligible for placing in the competition, but I include them in these leaderboards to help participants compare against the baseline models.</em></p>",
  "messages": [
    {
      "id": "2900623",
      "postDate": "07/02/2024 12:00:33",
      "content": "<p><strong>Due to a bug in the code, this leaderboard isn't correct - see the new <a href=\"https://www.kaggle.com/competitions/the-future-crop-challenge/discussion/522309\" target=\"_blank\">post</a> instead!</strong></p>\n<p>We're not only looking for the best performance in terms of RMSE, but also in terms of how well the models can capture the variability of annual production in breadbasket regions (Iowa for maize, Germany for wheat). Furthermore, as we find that often models overfit spatially but don't manage to get the temporal variability at each gridcell, we also measure the median R2 over all gridcells.</p>\n<p>Starting this week, we plan to calculate the scores on these metrics for the validation years (2020-2050) and share the results at ~weekly intervals, so you can see how well your models are performing.</p>\n<p>The number next to your first name or initial indicates which of your submissions this represents - 1 would be the first you submitted, etc. Bold denotes the top three entries for that particular metric.</p>\n<p>Should we consider other metrics as well? Interested in your thoughts!</p>\n<p><strong>Don't forget - to enter the competition it's compulsory to share your code. Please make your notebooks public or contact us to share!</strong></p>\n<table>\n<thead>\n<tr>\n<th>Submission</th>\n<th>Validation Median R2</th>\n<th>Validation Iowa R2</th>\n<th>Validation Germany R2</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>Abdelghani7</td>\n<td><strong>-0.0387</strong></td>\n<td>0.5556</td>\n<td>0.0839</td>\n</tr>\n<tr>\n<td>K10</td>\n<td><strong>-0.1658</strong></td>\n<td>0.4537</td>\n<td><strong>0.235</strong></td>\n</tr>\n<tr>\n<td>K8</td>\n<td><strong>-0.1658</strong></td>\n<td>0.4537</td>\n<td><strong>0.235</strong></td>\n</tr>\n<tr>\n<td>Divya1</td>\n<td><strong>-0.1808</strong></td>\n<td>0.4543</td>\n<td><strong>0.1801</strong></td>\n</tr>\n<tr>\n<td>Abdelghani5</td>\n<td>-0.2021</td>\n<td>-0.5034</td>\n<td>-0.0258</td>\n</tr>\n<tr>\n<td>Abdelghani11</td>\n<td>-0.2712</td>\n<td>-0.5237</td>\n<td>-0.0151</td>\n</tr>\n<tr>\n<td>Abdelghani4</td>\n<td>-0.2722</td>\n<td>-0.5479</td>\n<td>-0.2447</td>\n</tr>\n<tr>\n<td>Lilybelle3</td>\n<td>-0.3237</td>\n<td>0.4267</td>\n<td>0.0434</td>\n</tr>\n<tr>\n<td>Abdelghani2</td>\n<td>-0.3422</td>\n<td>0.5622</td>\n<td>0.1389</td>\n</tr>\n<tr>\n<td>Abdelghani1</td>\n<td>-0.3422</td>\n<td><strong>0.5622</strong></td>\n<td>0.1389</td>\n</tr>\n<tr>\n<td>Lilybelle4</td>\n<td>-0.3586</td>\n<td>-2.8099</td>\n<td>-0.0279</td>\n</tr>\n<tr>\n<td>Jonathan3</td>\n<td>-0.4632</td>\n<td>-3.6195</td>\n<td>0.0592</td>\n</tr>\n<tr>\n<td>Jonathan1</td>\n<td>-0.4632</td>\n<td>-3.6195</td>\n<td>0.0592</td>\n</tr>\n<tr>\n<td>Jonathan2</td>\n<td>-0.4874</td>\n<td>-3.6378</td>\n<td>0.0373</td>\n</tr>\n<tr>\n<td>Monique5</td>\n<td>-0.5523</td>\n<td><strong>0.6535</strong></td>\n<td>0.1653</td>\n</tr>\n<tr>\n<td>Monique8</td>\n<td>-0.5618</td>\n<td>0.513</td>\n<td>-0.0133</td>\n</tr>\n<tr>\n<td>Monique7</td>\n<td>-0.5618</td>\n<td>0.513</td>\n<td>-0.0133</td>\n</tr>\n<tr>\n<td>Monique3</td>\n<td>-0.5799</td>\n<td><strong>0.6531</strong></td>\n<td>0.0391</td>\n</tr>\n<tr>\n<td>Abdelghani6</td>\n<td>-0.6225</td>\n<td>-0.8669</td>\n<td>-0.3743</td>\n</tr>\n<tr>\n<td>Lilybelle2</td>\n<td>-0.6497</td>\n<td>0.3706</td>\n<td>0.0267</td>\n</tr>\n<tr>\n<td>Monique6</td>\n<td>-0.6833</td>\n<td>-0.0321</td>\n<td>-0.033</td>\n</tr>\n<tr>\n<td>JasonTarzan2</td>\n<td>-0.723</td>\n<td>0.148</td>\n<td>-0.008</td>\n</tr>\n<tr>\n<td>K5</td>\n<td>-0.7393</td>\n<td>0.453</td>\n<td>-12.0148</td>\n</tr>\n<tr>\n<td>Abdelghani9</td>\n<td>-0.7879</td>\n<td>0.003</td>\n<td>-0.069</td>\n</tr>\n<tr>\n<td>JasonTarzan1</td>\n<td>-0.7972</td>\n<td>0.1843</td>\n<td><strong>0.1715</strong></td>\n</tr>\n<tr>\n<td>JasonTarzan3</td>\n<td>-0.8373</td>\n<td>0.4139</td>\n<td>-0.0457</td>\n</tr>\n<tr>\n<td>K6</td>\n<td>-0.9618</td>\n<td>0.4275</td>\n<td>-15.2131</td>\n</tr>\n<tr>\n<td>Monique1</td>\n<td>-1.046</td>\n<td>-0.0292</td>\n<td>-0.2779</td>\n</tr>\n<tr>\n<td>K2</td>\n<td>-1.1718</td>\n<td>-2.6885</td>\n<td>-1.1253</td>\n</tr>\n<tr>\n<td>K9</td>\n<td>-1.232</td>\n<td>-2.4394</td>\n<td>-1.8217</td>\n</tr>\n<tr>\n<td>JasonTarzan4</td>\n<td>-1.2402</td>\n<td>0.294</td>\n<td>-0.1699</td>\n</tr>\n<tr>\n<td>JasonTarzan5</td>\n<td>-1.3462</td>\n<td>-1.1281</td>\n<td>-0.6062</td>\n</tr>\n<tr>\n<td>K1</td>\n<td>-1.4378</td>\n<td>-3.2419</td>\n<td>-1.2659</td>\n</tr>\n<tr>\n<td>Monique9</td>\n<td>-1.5162</td>\n<td>-0.0122</td>\n<td>-0.2779</td>\n</tr>\n<tr>\n<td>Monique4</td>\n<td>-1.5162</td>\n<td>-0.0122</td>\n<td>-0.2779</td>\n</tr>\n<tr>\n<td>Abdelghani8</td>\n<td>-1.5554</td>\n<td>-2.8191</td>\n<td>-41.4001</td>\n</tr>\n<tr>\n<td>Monique2</td>\n<td>-2.9386</td>\n<td>-1.2431</td>\n<td>-8.4138</td>\n</tr>\n<tr>\n<td>Thomas1</td>\n<td>-3.2773</td>\n<td>-1.8043</td>\n<td>-15.2508</td>\n</tr>\n<tr>\n<td>Abdelghani10</td>\n<td>-5.2269</td>\n<td>-8.2214</td>\n<td>-23.0564</td>\n</tr>\n<tr>\n<td>Abdelghani3</td>\n<td>-5.3518</td>\n<td>-8.1132</td>\n<td>-22.5979</td>\n</tr>\n<tr>\n<td>Abdelghani12</td>\n<td>-5.3518</td>\n<td>-8.1132</td>\n<td>-22.5979</td>\n</tr>\n<tr>\n<td>Lilybelle1</td>\n<td>-5.3518</td>\n<td>-8.1132</td>\n<td>-22.5979</td>\n</tr>\n<tr>\n<td>K4</td>\n<td>-8.2054</td>\n<td>-27.6892</td>\n<td>-28.0561</td>\n</tr>\n<tr>\n<td>K7</td>\n<td>-24.7473</td>\n<td>-0.2668</td>\n<td>-55.0121</td>\n</tr>\n<tr>\n<td>K3</td>\n<td>-4786.0087</td>\n<td>-37598.0004</td>\n<td>-12626.6688</td>\n</tr>\n</tbody>\n</table>\n<p><a href=\"https://www.kaggle.com/abdelghanibelgaid\" target=\"_blank\">@abdelghanibelgaid</a> <a href=\"https://www.kaggle.com/knarenderreddy\" target=\"_blank\">@knarenderreddy</a> <a href=\"https://www.kaggle.com/divyasitani\" target=\"_blank\">@divyasitani</a> <a href=\"https://www.kaggle.com/jonathanwider\" target=\"_blank\">@jonathanwider</a> <a href=\"https://www.kaggle.com/picsoflily\" target=\"_blank\">@picsoflily</a> <a href=\"https://www.kaggle.com/jasontarzan\" target=\"_blank\">@jasontarzan</a> <a href=\"https://www.kaggle.com/lobsterjesus\" target=\"_blank\">@lobsterjesus</a> </p>\n<p><em>Note: baseline model submissions from co-organisers (Lily, Monique, Thomas) aren't eligible for placing in the competition, but I include them in these leaderboards to help participants compare against the baseline models.</em></p>",
      "rawMarkdown": "**Due to a bug in the code, this leaderboard isn't correct - see the new [post](https://www.kaggle.com/competitions/the-future-crop-challenge/discussion/522309) instead!**\n\nWe're not only looking for the best performance in terms of RMSE, but also in terms of how well the models can capture the variability of annual production in breadbasket regions (Iowa for maize, Germany for wheat). Furthermore, as we find that often models overfit spatially but don't manage to get the temporal variability at each gridcell, we also measure the median R2 over all gridcells.\n\nStarting this week, we plan to calculate the scores on these metrics for the validation years (2020-2050) and share the results at ~weekly intervals, so you can see how well your models are performing.\n\nThe number next to your first name or initial indicates which of your submissions this represents - 1 would be the first you submitted, etc. Bold denotes the top three entries for that particular metric.\n\nShould we consider other metrics as well? Interested in your thoughts!\n\n**Don't forget - to enter the competition it's compulsory to share your code. Please make your notebooks public or contact us to share!**\n\nSubmission|Validation Median R2|Validation Iowa R2|Validation Germany R2\n---|---|---|---\nAbdelghani7|**-0.0387**|0.5556|0.0839\nK10|**-0.1658**|0.4537|**0.235**\nK8|**-0.1658**|0.4537|**0.235**\nDivya1|**-0.1808**|0.4543|**0.1801**\nAbdelghani5|-0.2021|-0.5034|-0.0258\nAbdelghani11|-0.2712|-0.5237|-0.0151\nAbdelghani4|-0.2722|-0.5479|-0.2447\nLilybelle3|-0.3237|0.4267|0.0434\nAbdelghani2|-0.3422|0.5622|0.1389\nAbdelghani1|-0.3422|**0.5622**|0.1389\nLilybelle4|-0.3586|-2.8099|-0.0279\nJonathan3|-0.4632|-3.6195|0.0592\nJonathan1|-0.4632|-3.6195|0.0592\nJonathan2|-0.4874|-3.6378|0.0373\nMonique5|-0.5523|**0.6535**|0.1653\nMonique8|-0.5618|0.513|-0.0133\nMonique7|-0.5618|0.513|-0.0133\nMonique3|-0.5799|**0.6531**|0.0391\nAbdelghani6|-0.6225|-0.8669|-0.3743\nLilybelle2|-0.6497|0.3706|0.0267\nMonique6|-0.6833|-0.0321|-0.033\nJasonTarzan2|-0.723|0.148|-0.008\nK5|-0.7393|0.453|-12.0148\nAbdelghani9|-0.7879|0.003|-0.069\nJasonTarzan1|-0.7972|0.1843|**0.1715**\nJasonTarzan3|-0.8373|0.4139|-0.0457\nK6|-0.9618|0.4275|-15.2131\nMonique1|-1.046|-0.0292|-0.2779\nK2|-1.1718|-2.6885|-1.1253\nK9|-1.232|-2.4394|-1.8217\nJasonTarzan4|-1.2402|0.294|-0.1699\nJasonTarzan5|-1.3462|-1.1281|-0.6062\nK1|-1.4378|-3.2419|-1.2659\nMonique9|-1.5162|-0.0122|-0.2779\nMonique4|-1.5162|-0.0122|-0.2779\nAbdelghani8|-1.5554|-2.8191|-41.4001\nMonique2|-2.9386|-1.2431|-8.4138\nThomas1|-3.2773|-1.8043|-15.2508\nAbdelghani10|-5.2269|-8.2214|-23.0564\nAbdelghani3|-5.3518|-8.1132|-22.5979\nAbdelghani12|-5.3518|-8.1132|-22.5979\nLilybelle1|-5.3518|-8.1132|-22.5979\nK4|-8.2054|-27.6892|-28.0561\nK7|-24.7473|-0.2668|-55.0121\nK3|-4786.0087|-37598.0004|-12626.6688\n\n\n@abdelghanibelgaid @knarenderreddy @divyasitani @jonathanwider @picsoflily @jasontarzan @lobsterjesus \n\n*Note: baseline model submissions from co-organisers (Lily, Monique, Thomas) aren't eligible for placing in the competition, but I include them in these leaderboards to help participants compare against the baseline models.*",
      "votes": null
    },
    {
      "id": "2900635",
      "postDate": "07/02/2024 12:07:16",
      "content": "<p><a href=\"https://www.kaggle.com/abdelghanibelgaid\" target=\"_blank\">@abdelghanibelgaid</a> <a href=\"https://www.kaggle.com/knarenderreddy\" target=\"_blank\">@knarenderreddy</a> <a href=\"https://www.kaggle.com/divyasitani\" target=\"_blank\">@divyasitani</a> <a href=\"https://www.kaggle.com/jonathanwider\" target=\"_blank\">@jonathanwider</a> <a href=\"https://www.kaggle.com/picsoflily\" target=\"_blank\">@picsoflily</a> <a href=\"https://www.kaggle.com/jasontarzan\" target=\"_blank\">@jasontarzan</a> <a href=\"https://www.kaggle.com/lobsterjesus\" target=\"_blank\">@lobsterjesus</a> </p>",
      "rawMarkdown": "abdelghanibelgaid @knarenderreddy @divyasitani @jonathanwider @picsoflily @jasontarzan @lobsterjesus",
      "votes": null
    },
    {
      "id": "2924118",
      "postDate": "07/16/2024 10:43:57",
      "content": "<p><strong>Updated leaderboard for 16th July!</strong> Bold entries are the top five for each item.</p>\n<table>\n<thead>\n<tr>\n<th>**Submission</th>\n<th>Validation Median R2</th>\n<th>Validation Iowa R2</th>\n<th>Validation Germany R2**</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>Abdelghani24</td>\n<td><strong>0.051</strong></td>\n<td>0.617</td>\n<td>0.115</td>\n</tr>\n<tr>\n<td>Abdelghani13</td>\n<td><strong>0.043</strong></td>\n<td>0.5921</td>\n<td>0.1183</td>\n</tr>\n<tr>\n<td>Abdelghani3</td>\n<td><strong>0.0392</strong></td>\n<td>0.6169</td>\n<td>0.1389</td>\n</tr>\n<tr>\n<td>Abdelghani15</td>\n<td><strong>0.0351</strong></td>\n<td>0.5755</td>\n<td>0.1082</td>\n</tr>\n<tr>\n<td>Abdelghani19</td>\n<td><strong>0.0326</strong></td>\n<td>0.5643</td>\n<td>0.0935</td>\n</tr>\n<tr>\n<td>Abdelghani9</td>\n<td>0.005</td>\n<td>0.5333</td>\n<td>0.0645</td>\n</tr>\n<tr>\n<td>Abdelghani6</td>\n<td>0.0027</td>\n<td>0.5814</td>\n<td>0.1255</td>\n</tr>\n<tr>\n<td>Abdelghani14</td>\n<td>-0.0019</td>\n<td>0.576</td>\n<td>0.1159</td>\n</tr>\n<tr>\n<td>Abdelghani11</td>\n<td>-0.0134</td>\n<td>0.5699</td>\n<td>0.1058</td>\n</tr>\n<tr>\n<td>Abdelghani12</td>\n<td>-0.0199</td>\n<td>0.5984</td>\n<td>0.1719</td>\n</tr>\n<tr>\n<td>Abdelghani22</td>\n<td>-0.0239</td>\n<td>0.5631</td>\n<td>0.0951</td>\n</tr>\n<tr>\n<td>Abdelghani23</td>\n<td>-0.0387</td>\n<td>0.5556</td>\n<td>0.0839</td>\n</tr>\n<tr>\n<td>Abdelghani18</td>\n<td>-0.0387</td>\n<td>0.5556</td>\n<td>0.0839</td>\n</tr>\n<tr>\n<td>Abdelghani27</td>\n<td>-0.0413</td>\n<td>0.4869</td>\n<td>0.0855</td>\n</tr>\n<tr>\n<td>Abdelghani17</td>\n<td>-0.0693</td>\n<td>0.4633</td>\n<td>0.064</td>\n</tr>\n<tr>\n<td>Abdelghani26</td>\n<td>-0.1319</td>\n<td>0.4343</td>\n<td>0.0658</td>\n</tr>\n<tr>\n<td>Monique13</td>\n<td>-0.1639</td>\n<td><strong>0.7599</strong></td>\n<td><strong>0.1983</strong></td>\n</tr>\n<tr>\n<td>K2</td>\n<td>-0.1658</td>\n<td>0.4537</td>\n<td><strong>0.235</strong></td>\n</tr>\n<tr>\n<td>K4</td>\n<td>-0.1658</td>\n<td>0.4537</td>\n<td><strong>0.235</strong></td>\n</tr>\n<tr>\n<td>Divya2</td>\n<td>-0.1808</td>\n<td>0.4543</td>\n<td>0.1801</td>\n</tr>\n<tr>\n<td>Abdelghani4</td>\n<td>-0.2021</td>\n<td>-0.5034</td>\n<td>-0.0258</td>\n</tr>\n<tr>\n<td>Divya1</td>\n<td>-0.2443</td>\n<td>0.2476</td>\n<td>0.1434</td>\n</tr>\n<tr>\n<td>Abdelghani1</td>\n<td>-0.2712</td>\n<td>-0.5237</td>\n<td>-0.0151</td>\n</tr>\n<tr>\n<td>Abdelghani16</td>\n<td>-0.2722</td>\n<td>-0.5479</td>\n<td>-0.2447</td>\n</tr>\n<tr>\n<td>Lilybelle1</td>\n<td>-0.3237</td>\n<td>0.4267</td>\n<td>0.0434</td>\n</tr>\n<tr>\n<td>Monique16</td>\n<td>-0.3302</td>\n<td>0.5687</td>\n<td><strong>0.2064</strong></td>\n</tr>\n<tr>\n<td>Monique17</td>\n<td>-0.3341</td>\n<td><strong>0.7025</strong></td>\n<td>0.1672</td>\n</tr>\n<tr>\n<td>Abdelghani10</td>\n<td>-0.3422</td>\n<td>0.5622</td>\n<td>0.1389</td>\n</tr>\n<tr>\n<td>Abdelghani8</td>\n<td>-0.3422</td>\n<td>0.5622</td>\n<td>0.1389</td>\n</tr>\n<tr>\n<td>Lilybelle3</td>\n<td>-0.3586</td>\n<td>-2.8099</td>\n<td>-0.0279</td>\n</tr>\n<tr>\n<td>Monique12</td>\n<td>-0.3655</td>\n<td>0.6148</td>\n<td><strong>0.2401</strong></td>\n</tr>\n<tr>\n<td>Jonathan1</td>\n<td>-0.457</td>\n<td>-3.7363</td>\n<td>0.0177</td>\n</tr>\n<tr>\n<td>Jonathan3</td>\n<td>-0.4632</td>\n<td>-3.6195</td>\n<td>0.0592</td>\n</tr>\n<tr>\n<td>Jonathan2</td>\n<td>-0.4632</td>\n<td>-3.6195</td>\n<td>0.0592</td>\n</tr>\n<tr>\n<td>Jonathan4</td>\n<td>-0.4874</td>\n<td>-3.6378</td>\n<td>0.0373</td>\n</tr>\n<tr>\n<td>Monique14</td>\n<td>-0.5523</td>\n<td><strong>0.6535</strong></td>\n<td>0.1653</td>\n</tr>\n<tr>\n<td>AmittKumarrSrivastava2</td>\n<td>-0.5528</td>\n<td>0.6285</td>\n<td>0.1671</td>\n</tr>\n<tr>\n<td>Monique15</td>\n<td>-0.5618</td>\n<td>0.513</td>\n<td>-0.0133</td>\n</tr>\n<tr>\n<td>Monique6</td>\n<td>-0.5618</td>\n<td>0.513</td>\n<td>-0.0133</td>\n</tr>\n<tr>\n<td>AmittKumarrSrivastava4</td>\n<td>-0.5768</td>\n<td><strong>0.7597</strong></td>\n<td><strong>0.1903</strong></td>\n</tr>\n<tr>\n<td>Monique11</td>\n<td>-0.5799</td>\n<td><strong>0.6531</strong></td>\n<td>0.0391</td>\n</tr>\n<tr>\n<td>AmittKumarrSrivastava1</td>\n<td>-0.6128</td>\n<td>0.4357</td>\n<td>0.0929</td>\n</tr>\n<tr>\n<td>Abdelghani20</td>\n<td>-0.6225</td>\n<td>-0.8669</td>\n<td>-0.3743</td>\n</tr>\n<tr>\n<td>Lilybelle4</td>\n<td>-0.6497</td>\n<td>0.3706</td>\n<td>0.0267</td>\n</tr>\n<tr>\n<td>AmittKumarrSrivastava3</td>\n<td>-0.6527</td>\n<td>0.4069</td>\n<td>0.0403</td>\n</tr>\n<tr>\n<td>AmittKumarrSrivastava5</td>\n<td>-0.6527</td>\n<td>0.4069</td>\n<td>0.0403</td>\n</tr>\n<tr>\n<td>Monique8</td>\n<td>-0.6833</td>\n<td>-0.0321</td>\n<td>-0.033</td>\n</tr>\n<tr>\n<td>Johannes1</td>\n<td>-0.6975</td>\n<td>-0.6625</td>\n<td>-2.1401</td>\n</tr>\n<tr>\n<td>JasonTarzan4</td>\n<td>-0.723</td>\n<td>0.148</td>\n<td>-0.008</td>\n</tr>\n<tr>\n<td>K3</td>\n<td>-0.7393</td>\n<td>0.453</td>\n<td>-12.0148</td>\n</tr>\n<tr>\n<td>Johannes2</td>\n<td>-0.7699</td>\n<td>-0.5199</td>\n<td>-1.4573</td>\n</tr>\n<tr>\n<td>Abdelghani5</td>\n<td>-0.7879</td>\n<td>0.003</td>\n<td>-0.069</td>\n</tr>\n<tr>\n<td>JasonTarzan2</td>\n<td>-0.7972</td>\n<td>0.1843</td>\n<td>0.1715</td>\n</tr>\n<tr>\n<td>JasonTarzan3</td>\n<td>-0.8373</td>\n<td>0.4139</td>\n<td>-0.0457</td>\n</tr>\n<tr>\n<td>K14</td>\n<td>-0.8707</td>\n<td>0.4459</td>\n<td>-19.0715</td>\n</tr>\n<tr>\n<td>K11</td>\n<td>-0.9618</td>\n<td>0.4275</td>\n<td>-15.2131</td>\n</tr>\n<tr>\n<td>Monique3</td>\n<td>-1.046</td>\n<td>-0.0292</td>\n<td>-0.2779</td>\n</tr>\n<tr>\n<td>Jiang3</td>\n<td>-1.0538</td>\n<td>0.2185</td>\n<td>-0.4389</td>\n</tr>\n<tr>\n<td>Jiang1</td>\n<td>-1.0538</td>\n<td>0.2185</td>\n<td>-0.4389</td>\n</tr>\n<tr>\n<td>Monique5</td>\n<td>-1.1663</td>\n<td>-2.2257</td>\n<td>-6.7435</td>\n</tr>\n<tr>\n<td>K12</td>\n<td>-1.1718</td>\n<td>-2.6885</td>\n<td>-1.1253</td>\n</tr>\n<tr>\n<td>K8</td>\n<td>-1.232</td>\n<td>-2.4394</td>\n<td>-1.8217</td>\n</tr>\n<tr>\n<td>Jiang5</td>\n<td>-1.2371</td>\n<td>0.5205</td>\n<td>-0.268</td>\n</tr>\n<tr>\n<td>JasonTarzan1</td>\n<td>-1.2402</td>\n<td>0.294</td>\n<td>-0.1699</td>\n</tr>\n<tr>\n<td>K6</td>\n<td>-1.2995</td>\n<td>-5.5441</td>\n<td>-1.984</td>\n</tr>\n<tr>\n<td>JasonTarzan5</td>\n<td>-1.3462</td>\n<td>-1.1281</td>\n<td>-0.6062</td>\n</tr>\n<tr>\n<td>Jiang6</td>\n<td>-1.4319</td>\n<td>-3.4144</td>\n<td>-0.122</td>\n</tr>\n<tr>\n<td>K9</td>\n<td>-1.4378</td>\n<td>-3.2419</td>\n<td>-1.2659</td>\n</tr>\n<tr>\n<td>Monique10</td>\n<td>-1.5162</td>\n<td>-0.0122</td>\n<td>-0.2779</td>\n</tr>\n<tr>\n<td>Monique1</td>\n<td>-1.5162</td>\n<td>-0.0122</td>\n<td>-0.2779</td>\n</tr>\n<tr>\n<td>Abdelghani2</td>\n<td>-1.5554</td>\n<td>-2.8191</td>\n<td>-41.4001</td>\n</tr>\n<tr>\n<td>Monique2</td>\n<td>-1.6301</td>\n<td>-1.1731</td>\n<td>-0.2715</td>\n</tr>\n<tr>\n<td>Monique7</td>\n<td>-1.7538</td>\n<td>-1.9617</td>\n<td>-4.861</td>\n</tr>\n<tr>\n<td>Johannes3</td>\n<td>-1.7948</td>\n<td>-1.1841</td>\n<td>-1.0573</td>\n</tr>\n<tr>\n<td>yuexiliuli7</td>\n<td>-1.9883</td>\n<td>-0.3159</td>\n<td>-23.2813</td>\n</tr>\n<tr>\n<td>Jiang4</td>\n<td>-2.0099</td>\n<td>-4.4471</td>\n<td>-2.472</td>\n</tr>\n<tr>\n<td>Johannes4</td>\n<td>-2.1137</td>\n<td>-2.905</td>\n<td>-2.8315</td>\n</tr>\n<tr>\n<td>Monique4</td>\n<td>-2.3288</td>\n<td>-1.327</td>\n<td>-7.2944</td>\n</tr>\n<tr>\n<td>Jiang2</td>\n<td>-2.4754</td>\n<td>-3.513</td>\n<td>-4.6779</td>\n</tr>\n<tr>\n<td>Monique9</td>\n<td>-2.9386</td>\n<td>-1.2431</td>\n<td>-8.4138</td>\n</tr>\n<tr>\n<td>yuexiliuli9</td>\n<td>-3.0455</td>\n<td>-0.7044</td>\n<td>-17.2027</td>\n</tr>\n<tr>\n<td>Thomas1</td>\n<td>-3.2773</td>\n<td>-1.8043</td>\n<td>-15.2508</td>\n</tr>\n<tr>\n<td>Abdelghani21</td>\n<td>-5.2269</td>\n<td>-8.2214</td>\n<td>-23.0564</td>\n</tr>\n<tr>\n<td>Abdelghani25</td>\n<td>-5.3518</td>\n<td>-8.1132</td>\n<td>-22.5979</td>\n</tr>\n<tr>\n<td>Abdelghani7</td>\n<td>-5.3518</td>\n<td>-8.1132</td>\n<td>-22.5979</td>\n</tr>\n<tr>\n<td>Lilybelle2</td>\n<td>-5.3518</td>\n<td>-8.1132</td>\n<td>-22.5979</td>\n</tr>\n<tr>\n<td>yuexiliuli1</td>\n<td>-5.4367</td>\n<td>-0.8075</td>\n<td>-13.9148</td>\n</tr>\n<tr>\n<td>yuexiliuli10</td>\n<td>-5.688</td>\n<td>-5.9317</td>\n<td>-22.5848</td>\n</tr>\n<tr>\n<td>yuexiliuli2</td>\n<td>-5.8034</td>\n<td>-2.4714</td>\n<td>-22.614</td>\n</tr>\n<tr>\n<td>yuexiliuli8</td>\n<td>-5.9358</td>\n<td>-5.5684</td>\n<td>-23.2787</td>\n</tr>\n<tr>\n<td>K5</td>\n<td>-6.0147</td>\n<td>-3.59</td>\n<td>-56.1686</td>\n</tr>\n<tr>\n<td>yuexiliuli3</td>\n<td>-6.1589</td>\n<td>-11.1909</td>\n<td>-22.5821</td>\n</tr>\n<tr>\n<td>yuexiliuli5</td>\n<td>-6.2546</td>\n<td>-6.5211</td>\n<td>-23.1889</td>\n</tr>\n<tr>\n<td>yuexiliuli4</td>\n<td>-7.5776</td>\n<td>-2.7282</td>\n<td>-22.3713</td>\n</tr>\n<tr>\n<td>K7</td>\n<td>-8.2054</td>\n<td>-27.6892</td>\n<td>-28.0561</td>\n</tr>\n<tr>\n<td>yuexiliuli6</td>\n<td>-14.9517</td>\n<td>-5.8695</td>\n<td>-68.1515</td>\n</tr>\n<tr>\n<td>Jiang7</td>\n<td>-18.9558</td>\n<td>-4.4471</td>\n<td>-33.8965</td>\n</tr>\n<tr>\n<td>K1</td>\n<td>-24.7473</td>\n<td>-0.2668</td>\n<td>-55.0121</td>\n</tr>\n<tr>\n<td>K13</td>\n<td>-4786.0087</td>\n<td>-37598.0004</td>\n<td>-12626.6688</td>\n</tr>\n<tr>\n<td>K10</td>\n<td>-21135.8054</td>\n<td>-16435.3889</td>\n<td>-1359.258</td>\n</tr>\n</tbody>\n</table>",
      "rawMarkdown": "**Updated leaderboard for 16th July!** Bold entries are the top five for each item.\n\n**Submission|Validation Median R2|Validation Iowa R2|Validation Germany R2**\n---|---|---|---\nAbdelghani24|**0.051**|0.617|0.115\nAbdelghani13|**0.043**|0.5921|0.1183\nAbdelghani3|**0.0392**|0.6169|0.1389\nAbdelghani15|**0.0351**|0.5755|0.1082\nAbdelghani19|**0.0326**|0.5643|0.0935\nAbdelghani9|0.005|0.5333|0.0645\nAbdelghani6|0.0027|0.5814|0.1255\nAbdelghani14|-0.0019|0.576|0.1159\nAbdelghani11|-0.0134|0.5699|0.1058\nAbdelghani12|-0.0199|0.5984|0.1719\nAbdelghani22|-0.0239|0.5631|0.0951\nAbdelghani23|-0.0387|0.5556|0.0839\nAbdelghani18|-0.0387|0.5556|0.0839\nAbdelghani27|-0.0413|0.4869|0.0855\nAbdelghani17|-0.0693|0.4633|0.064\nAbdelghani26|-0.1319|0.4343|0.0658\nMonique13|-0.1639|**0.7599**|**0.1983**\nK2|-0.1658|0.4537|**0.235**\nK4|-0.1658|0.4537|**0.235**\nDivya2|-0.1808|0.4543|0.1801\nAbdelghani4|-0.2021|-0.5034|-0.0258\nDivya1|-0.2443|0.2476|0.1434\nAbdelghani1|-0.2712|-0.5237|-0.0151\nAbdelghani16|-0.2722|-0.5479|-0.2447\nLilybelle1|-0.3237|0.4267|0.0434\nMonique16|-0.3302|0.5687|**0.2064**\nMonique17|-0.3341|**0.7025**|0.1672\nAbdelghani10|-0.3422|0.5622|0.1389\nAbdelghani8|-0.3422|0.5622|0.1389\nLilybelle3|-0.3586|-2.8099|-0.0279\nMonique12|-0.3655|0.6148|**0.2401**\nJonathan1|-0.457|-3.7363|0.0177\nJonathan3|-0.4632|-3.6195|0.0592\nJonathan2|-0.4632|-3.6195|0.0592\nJonathan4|-0.4874|-3.6378|0.0373\nMonique14|-0.5523|**0.6535**|0.1653\nAmittKumarrSrivastava2|-0.5528|0.6285|0.1671\nMonique15|-0.5618|0.513|-0.0133\nMonique6|-0.5618|0.513|-0.0133\nAmittKumarrSrivastava4|-0.5768|**0.7597**|**0.1903**\nMonique11|-0.5799|**0.6531**|0.0391\nAmittKumarrSrivastava1|-0.6128|0.4357|0.0929\nAbdelghani20|-0.6225|-0.8669|-0.3743\nLilybelle4|-0.6497|0.3706|0.0267\nAmittKumarrSrivastava3|-0.6527|0.4069|0.0403\nAmittKumarrSrivastava5|-0.6527|0.4069|0.0403\nMonique8|-0.6833|-0.0321|-0.033\nJohannes1|-0.6975|-0.6625|-2.1401\nJasonTarzan4|-0.723|0.148|-0.008\nK3|-0.7393|0.453|-12.0148\nJohannes2|-0.7699|-0.5199|-1.4573\nAbdelghani5|-0.7879|0.003|-0.069\nJasonTarzan2|-0.7972|0.1843|0.1715\nJasonTarzan3|-0.8373|0.4139|-0.0457\nK14|-0.8707|0.4459|-19.0715\nK11|-0.9618|0.4275|-15.2131\nMonique3|-1.046|-0.0292|-0.2779\nJiang3|-1.0538|0.2185|-0.4389\nJiang1|-1.0538|0.2185|-0.4389\nMonique5|-1.1663|-2.2257|-6.7435\nK12|-1.1718|-2.6885|-1.1253\nK8|-1.232|-2.4394|-1.8217\nJiang5|-1.2371|0.5205|-0.268\nJasonTarzan1|-1.2402|0.294|-0.1699\nK6|-1.2995|-5.5441|-1.984\nJasonTarzan5|-1.3462|-1.1281|-0.6062\nJiang6|-1.4319|-3.4144|-0.122\nK9|-1.4378|-3.2419|-1.2659\nMonique10|-1.5162|-0.0122|-0.2779\nMonique1|-1.5162|-0.0122|-0.2779\nAbdelghani2|-1.5554|-2.8191|-41.4001\nMonique2|-1.6301|-1.1731|-0.2715\nMonique7|-1.7538|-1.9617|-4.861\nJohannes3|-1.7948|-1.1841|-1.0573\nyuexiliuli7|-1.9883|-0.3159|-23.2813\nJiang4|-2.0099|-4.4471|-2.472\nJohannes4|-2.1137|-2.905|-2.8315\nMonique4|-2.3288|-1.327|-7.2944\nJiang2|-2.4754|-3.513|-4.6779\nMonique9|-2.9386|-1.2431|-8.4138\nyuexiliuli9|-3.0455|-0.7044|-17.2027\nThomas1|-3.2773|-1.8043|-15.2508\nAbdelghani21|-5.2269|-8.2214|-23.0564\nAbdelghani25|-5.3518|-8.1132|-22.5979\nAbdelghani7|-5.3518|-8.1132|-22.5979\nLilybelle2|-5.3518|-8.1132|-22.5979\nyuexiliuli1|-5.4367|-0.8075|-13.9148\nyuexiliuli10|-5.688|-5.9317|-22.5848\nyuexiliuli2|-5.8034|-2.4714|-22.614\nyuexiliuli8|-5.9358|-5.5684|-23.2787\nK5|-6.0147|-3.59|-56.1686\nyuexiliuli3|-6.1589|-11.1909|-22.5821\nyuexiliuli5|-6.2546|-6.5211|-23.1889\nyuexiliuli4|-7.5776|-2.7282|-22.3713\nK7|-8.2054|-27.6892|-28.0561\nyuexiliuli6|-14.9517|-5.8695|-68.1515\nJiang7|-18.9558|-4.4471|-33.8965\nK1|-24.7473|-0.2668|-55.0121\nK13|-4786.0087|-37598.0004|-12626.6688\nK10|-21135.8054|-16435.3889|-1359.258",
      "votes": null
    },
    {
      "id": "2935494",
      "postDate": "07/25/2024 10:47:49",
      "content": "<p><strong>Updated leaderboard for 25th July!</strong> Bold entries are the top five for each category.</p>\n<table>\n<thead>\n<tr>\n<th>Submission</th>\n<th>Validation Median R2</th>\n<th>Validation Iowa R2</th>\n<th>Validation Germany R2</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>Abdelghani21</td>\n<td><strong>0.0984</strong></td>\n<td>0.5723</td>\n<td>0.1124</td>\n</tr>\n<tr>\n<td>Abdelghani11</td>\n<td><strong>0.0983</strong></td>\n<td>0.5676</td>\n<td>0.125</td>\n</tr>\n<tr>\n<td>Abdelghani30</td>\n<td><strong>0.0958</strong></td>\n<td>0.561</td>\n<td>0.1342</td>\n</tr>\n<tr>\n<td>Monique4</td>\n<td><strong>0.0795</strong></td>\n<td>0.5541</td>\n<td>0.136</td>\n</tr>\n<tr>\n<td>Abdelghani5</td>\n<td><strong>0.075</strong></td>\n<td>0.5738</td>\n<td>0.1084</td>\n</tr>\n<tr>\n<td>Abdelghani6</td>\n<td>0.0744</td>\n<td>0.5737</td>\n<td>0.1032</td>\n</tr>\n<tr>\n<td>Abdelghani20</td>\n<td>0.0703</td>\n<td>0.5717</td>\n<td>0.0977</td>\n</tr>\n<tr>\n<td>Abdelghani8</td>\n<td>0.0702</td>\n<td>0.5721</td>\n<td>0.1133</td>\n</tr>\n<tr>\n<td>Monique12</td>\n<td>0.0532</td>\n<td>0.5629</td>\n<td>0.1219</td>\n</tr>\n<tr>\n<td>Abdelghani24</td>\n<td>0.051</td>\n<td>0.617</td>\n<td>0.115</td>\n</tr>\n<tr>\n<td>Abdelghani31</td>\n<td>0.043</td>\n<td>0.5921</td>\n<td>0.1183</td>\n</tr>\n<tr>\n<td>Abdelghani23</td>\n<td>0.0392</td>\n<td>0.6169</td>\n<td>0.1389</td>\n</tr>\n<tr>\n<td>Abdelghani12</td>\n<td>0.0351</td>\n<td>0.5755</td>\n<td>0.1082</td>\n</tr>\n<tr>\n<td>Abdelghani26</td>\n<td>0.0326</td>\n<td>0.5643</td>\n<td>0.0935</td>\n</tr>\n<tr>\n<td>Abdelghani32</td>\n<td>0.005</td>\n<td>0.5333</td>\n<td>0.0645</td>\n</tr>\n<tr>\n<td>Abdelghani7</td>\n<td>0.0027</td>\n<td>0.5814</td>\n<td>0.1255</td>\n</tr>\n<tr>\n<td>Abdelghani18</td>\n<td>-0.0019</td>\n<td>0.576</td>\n<td>0.1159</td>\n</tr>\n<tr>\n<td>Johannes17</td>\n<td>-0.0066</td>\n<td>-0.1648</td>\n<td>0.1255</td>\n</tr>\n<tr>\n<td>Monique13</td>\n<td>-0.0067</td>\n<td>0.1688</td>\n<td>0.1374</td>\n</tr>\n<tr>\n<td>Johannes6</td>\n<td>-0.0123</td>\n<td>-0.6302</td>\n<td>-0.0297</td>\n</tr>\n<tr>\n<td>Abdelghani19</td>\n<td>-0.0134</td>\n<td>0.5699</td>\n<td>0.1058</td>\n</tr>\n<tr>\n<td>Johannes20</td>\n<td>-0.0168</td>\n<td>-0.2099</td>\n<td>-0.0358</td>\n</tr>\n<tr>\n<td>Johannes5</td>\n<td>-0.0176</td>\n<td>0.0521</td>\n<td>0.0434</td>\n</tr>\n<tr>\n<td>Johannes15</td>\n<td>-0.0185</td>\n<td>-0.1494</td>\n<td>-0.0392</td>\n</tr>\n<tr>\n<td>Abdelghani10</td>\n<td>-0.0199</td>\n<td>0.5984</td>\n<td>0.1719</td>\n</tr>\n<tr>\n<td>Johannes1</td>\n<td>-0.0214</td>\n<td>-0.6362</td>\n<td>-0.0465</td>\n</tr>\n<tr>\n<td>Abdelghani1</td>\n<td>-0.0239</td>\n<td>0.5631</td>\n<td>0.0951</td>\n</tr>\n<tr>\n<td>Johannes18</td>\n<td>-0.0291</td>\n<td>-0.8114</td>\n<td>0.117</td>\n</tr>\n<tr>\n<td>Johannes11</td>\n<td>-0.0359</td>\n<td>-0.2832</td>\n<td>-0.0131</td>\n</tr>\n<tr>\n<td>Abdelghani15</td>\n<td>-0.0387</td>\n<td>0.5556</td>\n<td>0.0839</td>\n</tr>\n<tr>\n<td>Abdelghani33</td>\n<td>-0.0387</td>\n<td>0.5556</td>\n<td>0.0839</td>\n</tr>\n<tr>\n<td>Abdelghani2</td>\n<td>-0.0413</td>\n<td>0.4869</td>\n<td>0.0855</td>\n</tr>\n<tr>\n<td>Johannes16</td>\n<td>-0.0418</td>\n<td>-0.345</td>\n<td>0.0767</td>\n</tr>\n<tr>\n<td>Johannes21</td>\n<td>-0.0448</td>\n<td>-0.6308</td>\n<td>0.08</td>\n</tr>\n<tr>\n<td>Abdelghani3</td>\n<td>-0.0693</td>\n<td>0.4633</td>\n<td>0.064</td>\n</tr>\n<tr>\n<td>Abdelghani16</td>\n<td>-0.1319</td>\n<td>0.4343</td>\n<td>0.0658</td>\n</tr>\n<tr>\n<td>Monique11</td>\n<td>-0.1639</td>\n<td><strong>0.7599</strong></td>\n<td><strong>0.1983</strong></td>\n</tr>\n<tr>\n<td>K4</td>\n<td>-0.1658</td>\n<td>0.4537</td>\n<td><strong>0.235</strong></td>\n</tr>\n<tr>\n<td>K10</td>\n<td>-0.1658</td>\n<td>0.4537</td>\n<td><strong>0.235</strong></td>\n</tr>\n<tr>\n<td>Divya2</td>\n<td>-0.1808</td>\n<td>0.4543</td>\n<td>0.1801</td>\n</tr>\n<tr>\n<td>Johannes12</td>\n<td>-0.1906</td>\n<td>-0.717</td>\n<td>0.01</td>\n</tr>\n<tr>\n<td>Abdelghani17</td>\n<td>-0.2021</td>\n<td>-0.5034</td>\n<td>-0.0258</td>\n</tr>\n<tr>\n<td>Monique6</td>\n<td>-0.2307</td>\n<td>-0.7257</td>\n<td>-0.0181</td>\n</tr>\n<tr>\n<td>Divya1</td>\n<td>-0.2443</td>\n<td>0.2476</td>\n<td>0.1434</td>\n</tr>\n<tr>\n<td>Abdelghani13</td>\n<td>-0.2712</td>\n<td>-0.5237</td>\n<td>-0.0151</td>\n</tr>\n<tr>\n<td>Abdelghani4</td>\n<td>-0.2722</td>\n<td>-0.5479</td>\n<td>-0.2447</td>\n</tr>\n<tr>\n<td>Lilybelle2</td>\n<td>-0.3237</td>\n<td>0.4267</td>\n<td>0.0434</td>\n</tr>\n<tr>\n<td>Johannes13</td>\n<td>-0.3239</td>\n<td>0.2614</td>\n<td>-0.3375</td>\n</tr>\n<tr>\n<td>Monique16</td>\n<td>-0.3302</td>\n<td>0.5687</td>\n<td><strong>0.2064</strong></td>\n</tr>\n<tr>\n<td>Monique17</td>\n<td>-0.3341</td>\n<td><strong>0.7025</strong></td>\n<td>0.1672</td>\n</tr>\n<tr>\n<td>Monique19</td>\n<td>-0.3373</td>\n<td>-2.794</td>\n<td>-0.0167</td>\n</tr>\n<tr>\n<td>Abdelghani29</td>\n<td>-0.3422</td>\n<td>0.5622</td>\n<td>0.1389</td>\n</tr>\n<tr>\n<td>Abdelghani25</td>\n<td>-0.3422</td>\n<td>0.5622</td>\n<td>0.1389</td>\n</tr>\n<tr>\n<td>Lilybelle1</td>\n<td>-0.3586</td>\n<td>-2.8099</td>\n<td>-0.0279</td>\n</tr>\n<tr>\n<td>Monique10</td>\n<td>-0.3655</td>\n<td>0.6148</td>\n<td><strong>0.2401</strong></td>\n</tr>\n<tr>\n<td>Johannes2</td>\n<td>-0.3713</td>\n<td>-2.3285</td>\n<td>0.0249</td>\n</tr>\n<tr>\n<td>Jonathan4</td>\n<td>-0.457</td>\n<td>-3.7363</td>\n<td>0.0177</td>\n</tr>\n<tr>\n<td>Jonathan1</td>\n<td>-0.4632</td>\n<td>-3.6195</td>\n<td>0.0592</td>\n</tr>\n<tr>\n<td>Jonathan3</td>\n<td>-0.4632</td>\n<td>-3.6195</td>\n<td>0.0592</td>\n</tr>\n<tr>\n<td>Johannes22</td>\n<td>-0.4742</td>\n<td>-0.0028</td>\n<td><strong>0.2706</strong></td>\n</tr>\n<tr>\n<td>Jonathan2</td>\n<td>-0.4874</td>\n<td>-3.6378</td>\n<td>0.0373</td>\n</tr>\n<tr>\n<td>Monique14</td>\n<td>-0.5523</td>\n<td><strong>0.6535</strong></td>\n<td>0.1653</td>\n</tr>\n<tr>\n<td>AmittKumarrSrivastava3</td>\n<td>-0.5528</td>\n<td>0.6285</td>\n<td>0.1671</td>\n</tr>\n<tr>\n<td>Monique15</td>\n<td>-0.5618</td>\n<td>0.513</td>\n<td>-0.0133</td>\n</tr>\n<tr>\n<td>Monique5</td>\n<td>-0.5618</td>\n<td>0.513</td>\n<td>-0.0133</td>\n</tr>\n<tr>\n<td>AmittKumarrSrivastava4</td>\n<td>-0.5768</td>\n<td><strong>0.7597</strong></td>\n<td>0.1903</td>\n</tr>\n<tr>\n<td>Monique2</td>\n<td>-0.5799</td>\n<td><strong>0.6531</strong></td>\n<td>0.0391</td>\n</tr>\n<tr>\n<td>Johannes7</td>\n<td>-0.6036</td>\n<td>-3.5369</td>\n<td>-0.042</td>\n</tr>\n<tr>\n<td>AmittKumarrSrivastava5</td>\n<td>-0.6128</td>\n<td>0.4357</td>\n<td>0.0929</td>\n</tr>\n<tr>\n<td>Johannes19</td>\n<td>-0.6176</td>\n<td>0.3287</td>\n<td>-0.8237</td>\n</tr>\n<tr>\n<td>Johannes8</td>\n<td>-0.6176</td>\n<td>0.3287</td>\n<td>-0.8237</td>\n</tr>\n<tr>\n<td>Abdelghani9</td>\n<td>-0.6225</td>\n<td>-0.8669</td>\n<td>-0.3743</td>\n</tr>\n<tr>\n<td>Lilybelle3</td>\n<td>-0.6497</td>\n<td>0.3706</td>\n<td>0.0267</td>\n</tr>\n<tr>\n<td>AmittKumarrSrivastava1</td>\n<td>-0.6527</td>\n<td>0.4069</td>\n<td>0.0403</td>\n</tr>\n<tr>\n<td>AmittKumarrSrivastava2</td>\n<td>-0.6527</td>\n<td>0.4069</td>\n<td>0.0403</td>\n</tr>\n<tr>\n<td>Monique1</td>\n<td>-0.6833</td>\n<td>-0.0321</td>\n<td>-0.033</td>\n</tr>\n<tr>\n<td>Johannes3</td>\n<td>-0.6975</td>\n<td>-0.6625</td>\n<td>-2.1401</td>\n</tr>\n<tr>\n<td>JasonTarzan4</td>\n<td>-0.723</td>\n<td>0.148</td>\n<td>-0.008</td>\n</tr>\n<tr>\n<td>K5</td>\n<td>-0.7393</td>\n<td>0.453</td>\n<td>-12.0148</td>\n</tr>\n<tr>\n<td>Johannes14</td>\n<td>-0.7699</td>\n<td>-0.5199</td>\n<td>-1.4573</td>\n</tr>\n<tr>\n<td>Abdelghani28</td>\n<td>-0.7879</td>\n<td>0.003</td>\n<td>-0.069</td>\n</tr>\n<tr>\n<td>JasonTarzan2</td>\n<td>-0.7972</td>\n<td>0.1843</td>\n<td>0.1715</td>\n</tr>\n<tr>\n<td>JasonTarzan5</td>\n<td>-0.8373</td>\n<td>0.4139</td>\n<td>-0.0457</td>\n</tr>\n<tr>\n<td>K14</td>\n<td>-0.8707</td>\n<td>0.4459</td>\n<td>-19.0715</td>\n</tr>\n<tr>\n<td>K9</td>\n<td>-0.9618</td>\n<td>0.4275</td>\n<td>-15.2131</td>\n</tr>\n<tr>\n<td>Monique22</td>\n<td>-1.046</td>\n<td>-0.0292</td>\n<td>-0.2779</td>\n</tr>\n<tr>\n<td>Jiang6</td>\n<td>-1.0538</td>\n<td>0.2185</td>\n<td>-0.4389</td>\n</tr>\n<tr>\n<td>Jiang3</td>\n<td>-1.0538</td>\n<td>0.2185</td>\n<td>-0.4389</td>\n</tr>\n<tr>\n<td>yuexiliuli5</td>\n<td>-1.1213</td>\n<td>-0.0236</td>\n<td>-0.2779</td>\n</tr>\n<tr>\n<td>Monique3</td>\n<td>-1.1663</td>\n<td>-2.2257</td>\n<td>-6.7435</td>\n</tr>\n<tr>\n<td>K12</td>\n<td>-1.1718</td>\n<td>-2.6885</td>\n<td>-1.1253</td>\n</tr>\n<tr>\n<td>Johannes9</td>\n<td>-1.1726</td>\n<td>0.454</td>\n<td>-0.4443</td>\n</tr>\n<tr>\n<td>yuexiliuli12</td>\n<td>-1.1951</td>\n<td>-1.4452</td>\n<td>0.0314</td>\n</tr>\n<tr>\n<td>yuexiliuli24</td>\n<td>-1.2294</td>\n<td>-0.3931</td>\n<td>-1.1102</td>\n</tr>\n<tr>\n<td>K1</td>\n<td>-1.232</td>\n<td>-2.4394</td>\n<td>-1.8217</td>\n</tr>\n<tr>\n<td>Jiang7</td>\n<td>-1.2371</td>\n<td>0.5205</td>\n<td>-0.268</td>\n</tr>\n<tr>\n<td>JasonTarzan1</td>\n<td>-1.2402</td>\n<td>0.294</td>\n<td>-0.1699</td>\n</tr>\n<tr>\n<td>yuexiliuli4</td>\n<td>-1.2554</td>\n<td>0.1683</td>\n<td>-1.4837</td>\n</tr>\n<tr>\n<td>yuexiliuli22</td>\n<td>-1.296</td>\n<td>-0.5994</td>\n<td>-0.95</td>\n</tr>\n<tr>\n<td>K6</td>\n<td>-1.2995</td>\n<td>-5.5441</td>\n<td>-1.984</td>\n</tr>\n<tr>\n<td>yuexiliuli17</td>\n<td>-1.3151</td>\n<td>0.1852</td>\n<td>0.1641</td>\n</tr>\n<tr>\n<td>JasonTarzan3</td>\n<td>-1.3462</td>\n<td>-1.1281</td>\n<td>-0.6062</td>\n</tr>\n<tr>\n<td>Jiang4</td>\n<td>-1.4319</td>\n<td>-3.4144</td>\n<td>-0.122</td>\n</tr>\n<tr>\n<td>K7</td>\n<td>-1.4378</td>\n<td>-3.2419</td>\n<td>-1.2659</td>\n</tr>\n<tr>\n<td>RonvanBree1</td>\n<td>-1.4472</td>\n<td>0.4056</td>\n<td>-0.5598</td>\n</tr>\n<tr>\n<td>yuexiliuli13</td>\n<td>-1.4641</td>\n<td>-11.0763</td>\n<td>-0.291</td>\n</tr>\n<tr>\n<td>Monique9</td>\n<td>-1.5162</td>\n<td>-0.0122</td>\n<td>-0.2779</td>\n</tr>\n<tr>\n<td>Monique18</td>\n<td>-1.5162</td>\n<td>-0.0122</td>\n<td>-0.2779</td>\n</tr>\n<tr>\n<td>yuexiliuli6</td>\n<td>-1.5375</td>\n<td>-7.5931</td>\n<td>-2.0214</td>\n</tr>\n<tr>\n<td>yuexiliuli20</td>\n<td>-1.5391</td>\n<td>-0.3425</td>\n<td>-1.0263</td>\n</tr>\n<tr>\n<td>Abdelghani22</td>\n<td>-1.5554</td>\n<td>-2.8191</td>\n<td>-41.4001</td>\n</tr>\n<tr>\n<td>yuexiliuli8</td>\n<td>-1.6052</td>\n<td>-1.2212</td>\n<td>-1.3027</td>\n</tr>\n<tr>\n<td>Monique20</td>\n<td>-1.6301</td>\n<td>-1.1731</td>\n<td>-0.2715</td>\n</tr>\n<tr>\n<td>Monique21</td>\n<td>-1.7538</td>\n<td>-1.9617</td>\n<td>-4.861</td>\n</tr>\n<tr>\n<td>yuexiliuli14</td>\n<td>-1.7705</td>\n<td>-0.267</td>\n<td>-0.7969</td>\n</tr>\n<tr>\n<td>yuexiliuli15</td>\n<td>-1.7857</td>\n<td>0.0867</td>\n<td>-0.8558</td>\n</tr>\n<tr>\n<td>RonvanBree2</td>\n<td>-1.7915</td>\n<td>-0.9004</td>\n<td>-0.5063</td>\n</tr>\n<tr>\n<td>Johannes4</td>\n<td>-1.7948</td>\n<td>-1.1841</td>\n<td>-1.0573</td>\n</tr>\n<tr>\n<td>yuexiliuli10</td>\n<td>-1.9883</td>\n<td>-0.3159</td>\n<td>-23.2813</td>\n</tr>\n<tr>\n<td>Jiang2</td>\n<td>-2.0099</td>\n<td>-4.4471</td>\n<td>-2.472</td>\n</tr>\n<tr>\n<td>Johannes10</td>\n<td>-2.1137</td>\n<td>-2.905</td>\n<td>-2.8315</td>\n</tr>\n<tr>\n<td>Monique7</td>\n<td>-2.3288</td>\n<td>-1.327</td>\n<td>-7.2944</td>\n</tr>\n<tr>\n<td>Jiang1</td>\n<td>-2.4754</td>\n<td>-3.513</td>\n<td>-4.6779</td>\n</tr>\n<tr>\n<td>Monique8</td>\n<td>-2.9386</td>\n<td>-1.2431</td>\n<td>-8.4138</td>\n</tr>\n<tr>\n<td>yuexiliuli25</td>\n<td>-3.0455</td>\n<td>-0.7044</td>\n<td>-17.2027</td>\n</tr>\n<tr>\n<td>Thomas1</td>\n<td>-3.2773</td>\n<td>-1.8043</td>\n<td>-15.2508</td>\n</tr>\n<tr>\n<td>Abdelghani14</td>\n<td>-5.2269</td>\n<td>-8.2214</td>\n<td>-23.0564</td>\n</tr>\n<tr>\n<td>Abdelghani27</td>\n<td>-5.3518</td>\n<td>-8.1132</td>\n<td>-22.5979</td>\n</tr>\n<tr>\n<td>Abdelghani34</td>\n<td>-5.3518</td>\n<td>-8.1132</td>\n<td>-22.5979</td>\n</tr>\n<tr>\n<td>Lilybelle4</td>\n<td>-5.3518</td>\n<td>-8.1132</td>\n<td>-22.5979</td>\n</tr>\n<tr>\n<td>yuexiliuli19</td>\n<td>-5.4367</td>\n<td>-0.8075</td>\n<td>-13.9148</td>\n</tr>\n<tr>\n<td>yuexiliuli26</td>\n<td>-5.688</td>\n<td>-5.9317</td>\n<td>-22.5848</td>\n</tr>\n<tr>\n<td>yuexiliuli16</td>\n<td>-5.8034</td>\n<td>-2.4714</td>\n<td>-22.614</td>\n</tr>\n<tr>\n<td>yuexiliuli9</td>\n<td>-5.9358</td>\n<td>-5.5684</td>\n<td>-23.2787</td>\n</tr>\n<tr>\n<td>K8</td>\n<td>-6.0147</td>\n<td>-3.59</td>\n<td>-56.1686</td>\n</tr>\n<tr>\n<td>yuexiliuli2</td>\n<td>-6.1589</td>\n<td>-11.1909</td>\n<td>-22.5821</td>\n</tr>\n<tr>\n<td>yuexiliuli1</td>\n<td>-6.2546</td>\n<td>-6.5211</td>\n<td>-23.1889</td>\n</tr>\n<tr>\n<td>yuexiliuli3</td>\n<td>-7.5776</td>\n<td>-2.7282</td>\n<td>-22.3713</td>\n</tr>\n<tr>\n<td>K13</td>\n<td>-8.2054</td>\n<td>-27.6892</td>\n<td>-28.0561</td>\n</tr>\n<tr>\n<td>yuexiliuli7</td>\n<td>-9.1963</td>\n<td>-12.9769</td>\n<td>-46.3724</td>\n</tr>\n<tr>\n<td>yuexiliuli11</td>\n<td>-14.9517</td>\n<td>-5.8695</td>\n<td>-68.1515</td>\n</tr>\n<tr>\n<td>yuexiliuli21</td>\n<td>-17.9077</td>\n<td>-24.8179</td>\n<td>-50.9584</td>\n</tr>\n<tr>\n<td>yuexiliuli23</td>\n<td>-17.9081</td>\n<td>-24.356</td>\n<td>-51.5917</td>\n</tr>\n<tr>\n<td>Jiang5</td>\n<td>-18.9558</td>\n<td>-4.4471</td>\n<td>-33.8965</td>\n</tr>\n<tr>\n<td>K2</td>\n<td>-24.7473</td>\n<td>-0.2668</td>\n<td>-55.0121</td>\n</tr>\n<tr>\n<td>yuexiliuli18</td>\n<td>-26.1638</td>\n<td>-14.6006</td>\n<td>-0.0259</td>\n</tr>\n<tr>\n<td>K3</td>\n<td>-4786.0087</td>\n<td>-37598.0004</td>\n<td>-12626.6688</td>\n</tr>\n<tr>\n<td>K11</td>\n<td>-21135.8054</td>\n<td>-16435.3889</td>\n<td>-1359.258</td>\n</tr>\n</tbody>\n</table>",
      "rawMarkdown": "**Updated leaderboard for 25th July!** Bold entries are the top five for each category.\n\nSubmission|Validation Median R2|Validation Iowa R2|Validation Germany R2\n---|---|---|---\nAbdelghani21|**0.0984**|0.5723|0.1124\nAbdelghani11|**0.0983**|0.5676|0.125\nAbdelghani30|**0.0958**|0.561|0.1342\nMonique4|**0.0795**|0.5541|0.136\nAbdelghani5|**0.075**|0.5738|0.1084\nAbdelghani6|0.0744|0.5737|0.1032\nAbdelghani20|0.0703|0.5717|0.0977\nAbdelghani8|0.0702|0.5721|0.1133\nMonique12|0.0532|0.5629|0.1219\nAbdelghani24|0.051|0.617|0.115\nAbdelghani31|0.043|0.5921|0.1183\nAbdelghani23|0.0392|0.6169|0.1389\nAbdelghani12|0.0351|0.5755|0.1082\nAbdelghani26|0.0326|0.5643|0.0935\nAbdelghani32|0.005|0.5333|0.0645\nAbdelghani7|0.0027|0.5814|0.1255\nAbdelghani18|-0.0019|0.576|0.1159\nJohannes17|-0.0066|-0.1648|0.1255\nMonique13|-0.0067|0.1688|0.1374\nJohannes6|-0.0123|-0.6302|-0.0297\nAbdelghani19|-0.0134|0.5699|0.1058\nJohannes20|-0.0168|-0.2099|-0.0358\nJohannes5|-0.0176|0.0521|0.0434\nJohannes15|-0.0185|-0.1494|-0.0392\nAbdelghani10|-0.0199|0.5984|0.1719\nJohannes1|-0.0214|-0.6362|-0.0465\nAbdelghani1|-0.0239|0.5631|0.0951\nJohannes18|-0.0291|-0.8114|0.117\nJohannes11|-0.0359|-0.2832|-0.0131\nAbdelghani15|-0.0387|0.5556|0.0839\nAbdelghani33|-0.0387|0.5556|0.0839\nAbdelghani2|-0.0413|0.4869|0.0855\nJohannes16|-0.0418|-0.345|0.0767\nJohannes21|-0.0448|-0.6308|0.08\nAbdelghani3|-0.0693|0.4633|0.064\nAbdelghani16|-0.1319|0.4343|0.0658\nMonique11|-0.1639|**0.7599**|**0.1983**\nK4|-0.1658|0.4537|**0.235**\nK10|-0.1658|0.4537|**0.235**\nDivya2|-0.1808|0.4543|0.1801\nJohannes12|-0.1906|-0.717|0.01\nAbdelghani17|-0.2021|-0.5034|-0.0258\nMonique6|-0.2307|-0.7257|-0.0181\nDivya1|-0.2443|0.2476|0.1434\nAbdelghani13|-0.2712|-0.5237|-0.0151\nAbdelghani4|-0.2722|-0.5479|-0.2447\nLilybelle2|-0.3237|0.4267|0.0434\nJohannes13|-0.3239|0.2614|-0.3375\nMonique16|-0.3302|0.5687|**0.2064**\nMonique17|-0.3341|**0.7025**|0.1672\nMonique19|-0.3373|-2.794|-0.0167\nAbdelghani29|-0.3422|0.5622|0.1389\nAbdelghani25|-0.3422|0.5622|0.1389\nLilybelle1|-0.3586|-2.8099|-0.0279\nMonique10|-0.3655|0.6148|**0.2401**\nJohannes2|-0.3713|-2.3285|0.0249\nJonathan4|-0.457|-3.7363|0.0177\nJonathan1|-0.4632|-3.6195|0.0592\nJonathan3|-0.4632|-3.6195|0.0592\nJohannes22|-0.4742|-0.0028|**0.2706**\nJonathan2|-0.4874|-3.6378|0.0373\nMonique14|-0.5523|**0.6535**|0.1653\nAmittKumarrSrivastava3|-0.5528|0.6285|0.1671\nMonique15|-0.5618|0.513|-0.0133\nMonique5|-0.5618|0.513|-0.0133\nAmittKumarrSrivastava4|-0.5768|**0.7597**|0.1903\nMonique2|-0.5799|**0.6531**|0.0391\nJohannes7|-0.6036|-3.5369|-0.042\nAmittKumarrSrivastava5|-0.6128|0.4357|0.0929\nJohannes19|-0.6176|0.3287|-0.8237\nJohannes8|-0.6176|0.3287|-0.8237\nAbdelghani9|-0.6225|-0.8669|-0.3743\nLilybelle3|-0.6497|0.3706|0.0267\nAmittKumarrSrivastava1|-0.6527|0.4069|0.0403\nAmittKumarrSrivastava2|-0.6527|0.4069|0.0403\nMonique1|-0.6833|-0.0321|-0.033\nJohannes3|-0.6975|-0.6625|-2.1401\nJasonTarzan4|-0.723|0.148|-0.008\nK5|-0.7393|0.453|-12.0148\nJohannes14|-0.7699|-0.5199|-1.4573\nAbdelghani28|-0.7879|0.003|-0.069\nJasonTarzan2|-0.7972|0.1843|0.1715\nJasonTarzan5|-0.8373|0.4139|-0.0457\nK14|-0.8707|0.4459|-19.0715\nK9|-0.9618|0.4275|-15.2131\nMonique22|-1.046|-0.0292|-0.2779\nJiang6|-1.0538|0.2185|-0.4389\nJiang3|-1.0538|0.2185|-0.4389\nyuexiliuli5|-1.1213|-0.0236|-0.2779\nMonique3|-1.1663|-2.2257|-6.7435\nK12|-1.1718|-2.6885|-1.1253\nJohannes9|-1.1726|0.454|-0.4443\nyuexiliuli12|-1.1951|-1.4452|0.0314\nyuexiliuli24|-1.2294|-0.3931|-1.1102\nK1|-1.232|-2.4394|-1.8217\nJiang7|-1.2371|0.5205|-0.268\nJasonTarzan1|-1.2402|0.294|-0.1699\nyuexiliuli4|-1.2554|0.1683|-1.4837\nyuexiliuli22|-1.296|-0.5994|-0.95\nK6|-1.2995|-5.5441|-1.984\nyuexiliuli17|-1.3151|0.1852|0.1641\nJasonTarzan3|-1.3462|-1.1281|-0.6062\nJiang4|-1.4319|-3.4144|-0.122\nK7|-1.4378|-3.2419|-1.2659\nRonvanBree1|-1.4472|0.4056|-0.5598\nyuexiliuli13|-1.4641|-11.0763|-0.291\nMonique9|-1.5162|-0.0122|-0.2779\nMonique18|-1.5162|-0.0122|-0.2779\nyuexiliuli6|-1.5375|-7.5931|-2.0214\nyuexiliuli20|-1.5391|-0.3425|-1.0263\nAbdelghani22|-1.5554|-2.8191|-41.4001\nyuexiliuli8|-1.6052|-1.2212|-1.3027\nMonique20|-1.6301|-1.1731|-0.2715\nMonique21|-1.7538|-1.9617|-4.861\nyuexiliuli14|-1.7705|-0.267|-0.7969\nyuexiliuli15|-1.7857|0.0867|-0.8558\nRonvanBree2|-1.7915|-0.9004|-0.5063\nJohannes4|-1.7948|-1.1841|-1.0573\nyuexiliuli10|-1.9883|-0.3159|-23.2813\nJiang2|-2.0099|-4.4471|-2.472\nJohannes10|-2.1137|-2.905|-2.8315\nMonique7|-2.3288|-1.327|-7.2944\nJiang1|-2.4754|-3.513|-4.6779\nMonique8|-2.9386|-1.2431|-8.4138\nyuexiliuli25|-3.0455|-0.7044|-17.2027\nThomas1|-3.2773|-1.8043|-15.2508\nAbdelghani14|-5.2269|-8.2214|-23.0564\nAbdelghani27|-5.3518|-8.1132|-22.5979\nAbdelghani34|-5.3518|-8.1132|-22.5979\nLilybelle4|-5.3518|-8.1132|-22.5979\nyuexiliuli19|-5.4367|-0.8075|-13.9148\nyuexiliuli26|-5.688|-5.9317|-22.5848\nyuexiliuli16|-5.8034|-2.4714|-22.614\nyuexiliuli9|-5.9358|-5.5684|-23.2787\nK8|-6.0147|-3.59|-56.1686\nyuexiliuli2|-6.1589|-11.1909|-22.5821\nyuexiliuli1|-6.2546|-6.5211|-23.1889\nyuexiliuli3|-7.5776|-2.7282|-22.3713\nK13|-8.2054|-27.6892|-28.0561\nyuexiliuli7|-9.1963|-12.9769|-46.3724\nyuexiliuli11|-14.9517|-5.8695|-68.1515\nyuexiliuli21|-17.9077|-24.8179|-50.9584\nyuexiliuli23|-17.9081|-24.356|-51.5917\nJiang5|-18.9558|-4.4471|-33.8965\nK2|-24.7473|-0.2668|-55.0121\nyuexiliuli18|-26.1638|-14.6006|-0.0259\nK3|-4786.0087|-37598.0004|-12626.6688\nK11|-21135.8054|-16435.3889|-1359.258",
      "votes": null
    },
    {
      "id": "2935667",
      "postDate": "07/25/2024 13:38:36",
      "content": "<p>**This leaderboard is incorrect! ** Thanks Monique for noticing the bug. I've created a <a href=\"https://www.kaggle.com/competitions/the-future-crop-challenge/discussion/522309\" target=\"_blank\">new post</a> instead, please refer to the leaderboard there instead.</p>",
      "rawMarkdown": "**This leaderboard is incorrect! ** Thanks Monique for noticing the bug. I've created a [new post](https://www.kaggle.com/competitions/the-future-crop-challenge/discussion/522309) instead, please refer to the leaderboard there instead.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2900635,
      "author_name": "lilybellesweet",
      "author_url": "",
      "post_date": "07/02/2024 12:07:16",
      "content": "<p><a href=\"https://www.kaggle.com/abdelghanibelgaid\" target=\"_blank\">@abdelghanibelgaid</a> <a href=\"https://www.kaggle.com/knarenderreddy\" target=\"_blank\">@knarenderreddy</a> <a href=\"https://www.kaggle.com/divyasitani\" target=\"_blank\">@divyasitani</a> <a href=\"https://www.kaggle.com/jonathanwider\" target=\"_blank\">@jonathanwider</a> <a href=\"https://www.kaggle.com/picsoflily\" target=\"_blank\">@picsoflily</a> <a href=\"https://www.kaggle.com/jasontarzan\" target=\"_blank\">@jasontarzan</a> <a href=\"https://www.kaggle.com/lobsterjesus\" target=\"_blank\">@lobsterjesus</a> </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2924118,
      "author_name": "lilybellesweet",
      "author_url": "",
      "post_date": "07/16/2024 10:43:57",
      "content": "<p><strong>Updated leaderboard for 16th July!</strong> Bold entries are the top five for each item.</p>\n<table>\n<thead>\n<tr>\n<th>**Submission</th>\n<th>Validation Median R2</th>\n<th>Validation Iowa R2</th>\n<th>Validation Germany R2**</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>Abdelghani24</td>\n<td><strong>0.051</strong></td>\n<td>0.617</td>\n<td>0.115</td>\n</tr>\n<tr>\n<td>Abdelghani13</td>\n<td><strong>0.043</strong></td>\n<td>0.5921</td>\n<td>0.1183</td>\n</tr>\n<tr>\n<td>Abdelghani3</td>\n<td><strong>0.0392</strong></td>\n<td>0.6169</td>\n<td>0.1389</td>\n</tr>\n<tr>\n<td>Abdelghani15</td>\n<td><strong>0.0351</strong></td>\n<td>0.5755</td>\n<td>0.1082</td>\n</tr>\n<tr>\n<td>Abdelghani19</td>\n<td><strong>0.0326</strong></td>\n<td>0.5643</td>\n<td>0.0935</td>\n</tr>\n<tr>\n<td>Abdelghani9</td>\n<td>0.005</td>\n<td>0.5333</td>\n<td>0.0645</td>\n</tr>\n<tr>\n<td>Abdelghani6</td>\n<td>0.0027</td>\n<td>0.5814</td>\n<td>0.1255</td>\n</tr>\n<tr>\n<td>Abdelghani14</td>\n<td>-0.0019</td>\n<td>0.576</td>\n<td>0.1159</td>\n</tr>\n<tr>\n<td>Abdelghani11</td>\n<td>-0.0134</td>\n<td>0.5699</td>\n<td>0.1058</td>\n</tr>\n<tr>\n<td>Abdelghani12</td>\n<td>-0.0199</td>\n<td>0.5984</td>\n<td>0.1719</td>\n</tr>\n<tr>\n<td>Abdelghani22</td>\n<td>-0.0239</td>\n<td>0.5631</td>\n<td>0.0951</td>\n</tr>\n<tr>\n<td>Abdelghani23</td>\n<td>-0.0387</td>\n<td>0.5556</td>\n<td>0.0839</td>\n</tr>\n<tr>\n<td>Abdelghani18</td>\n<td>-0.0387</td>\n<td>0.5556</td>\n<td>0.0839</td>\n</tr>\n<tr>\n<td>Abdelghani27</td>\n<td>-0.0413</td>\n<td>0.4869</td>\n<td>0.0855</td>\n</tr>\n<tr>\n<td>Abdelghani17</td>\n<td>-0.0693</td>\n<td>0.4633</td>\n<td>0.064</td>\n</tr>\n<tr>\n<td>Abdelghani26</td>\n<td>-0.1319</td>\n<td>0.4343</td>\n<td>0.0658</td>\n</tr>\n<tr>\n<td>Monique13</td>\n<td>-0.1639</td>\n<td><strong>0.7599</strong></td>\n<td><strong>0.1983</strong></td>\n</tr>\n<tr>\n<td>K2</td>\n<td>-0.1658</td>\n<td>0.4537</td>\n<td><strong>0.235</strong></td>\n</tr>\n<tr>\n<td>K4</td>\n<td>-0.1658</td>\n<td>0.4537</td>\n<td><strong>0.235</strong></td>\n</tr>\n<tr>\n<td>Divya2</td>\n<td>-0.1808</td>\n<td>0.4543</td>\n<td>0.1801</td>\n</tr>\n<tr>\n<td>Abdelghani4</td>\n<td>-0.2021</td>\n<td>-0.5034</td>\n<td>-0.0258</td>\n</tr>\n<tr>\n<td>Divya1</td>\n<td>-0.2443</td>\n<td>0.2476</td>\n<td>0.1434</td>\n</tr>\n<tr>\n<td>Abdelghani1</td>\n<td>-0.2712</td>\n<td>-0.5237</td>\n<td>-0.0151</td>\n</tr>\n<tr>\n<td>Abdelghani16</td>\n<td>-0.2722</td>\n<td>-0.5479</td>\n<td>-0.2447</td>\n</tr>\n<tr>\n<td>Lilybelle1</td>\n<td>-0.3237</td>\n<td>0.4267</td>\n<td>0.0434</td>\n</tr>\n<tr>\n<td>Monique16</td>\n<td>-0.3302</td>\n<td>0.5687</td>\n<td><strong>0.2064</strong></td>\n</tr>\n<tr>\n<td>Monique17</td>\n<td>-0.3341</td>\n<td><strong>0.7025</strong></td>\n<td>0.1672</td>\n</tr>\n<tr>\n<td>Abdelghani10</td>\n<td>-0.3422</td>\n<td>0.5622</td>\n<td>0.1389</td>\n</tr>\n<tr>\n<td>Abdelghani8</td>\n<td>-0.3422</td>\n<td>0.5622</td>\n<td>0.1389</td>\n</tr>\n<tr>\n<td>Lilybelle3</td>\n<td>-0.3586</td>\n<td>-2.8099</td>\n<td>-0.0279</td>\n</tr>\n<tr>\n<td>Monique12</td>\n<td>-0.3655</td>\n<td>0.6148</td>\n<td><strong>0.2401</strong></td>\n</tr>\n<tr>\n<td>Jonathan1</td>\n<td>-0.457</td>\n<td>-3.7363</td>\n<td>0.0177</td>\n</tr>\n<tr>\n<td>Jonathan3</td>\n<td>-0.4632</td>\n<td>-3.6195</td>\n<td>0.0592</td>\n</tr>\n<tr>\n<td>Jonathan2</td>\n<td>-0.4632</td>\n<td>-3.6195</td>\n<td>0.0592</td>\n</tr>\n<tr>\n<td>Jonathan4</td>\n<td>-0.4874</td>\n<td>-3.6378</td>\n<td>0.0373</td>\n</tr>\n<tr>\n<td>Monique14</td>\n<td>-0.5523</td>\n<td><strong>0.6535</strong></td>\n<td>0.1653</td>\n</tr>\n<tr>\n<td>AmittKumarrSrivastava2</td>\n<td>-0.5528</td>\n<td>0.6285</td>\n<td>0.1671</td>\n</tr>\n<tr>\n<td>Monique15</td>\n<td>-0.5618</td>\n<td>0.513</td>\n<td>-0.0133</td>\n</tr>\n<tr>\n<td>Monique6</td>\n<td>-0.5618</td>\n<td>0.513</td>\n<td>-0.0133</td>\n</tr>\n<tr>\n<td>AmittKumarrSrivastava4</td>\n<td>-0.5768</td>\n<td><strong>0.7597</strong></td>\n<td><strong>0.1903</strong></td>\n</tr>\n<tr>\n<td>Monique11</td>\n<td>-0.5799</td>\n<td><strong>0.6531</strong></td>\n<td>0.0391</td>\n</tr>\n<tr>\n<td>AmittKumarrSrivastava1</td>\n<td>-0.6128</td>\n<td>0.4357</td>\n<td>0.0929</td>\n</tr>\n<tr>\n<td>Abdelghani20</td>\n<td>-0.6225</td>\n<td>-0.8669</td>\n<td>-0.3743</td>\n</tr>\n<tr>\n<td>Lilybelle4</td>\n<td>-0.6497</td>\n<td>0.3706</td>\n<td>0.0267</td>\n</tr>\n<tr>\n<td>AmittKumarrSrivastava3</td>\n<td>-0.6527</td>\n<td>0.4069</td>\n<td>0.0403</td>\n</tr>\n<tr>\n<td>AmittKumarrSrivastava5</td>\n<td>-0.6527</td>\n<td>0.4069</td>\n<td>0.0403</td>\n</tr>\n<tr>\n<td>Monique8</td>\n<td>-0.6833</td>\n<td>-0.0321</td>\n<td>-0.033</td>\n</tr>\n<tr>\n<td>Johannes1</td>\n<td>-0.6975</td>\n<td>-0.6625</td>\n<td>-2.1401</td>\n</tr>\n<tr>\n<td>JasonTarzan4</td>\n<td>-0.723</td>\n<td>0.148</td>\n<td>-0.008</td>\n</tr>\n<tr>\n<td>K3</td>\n<td>-0.7393</td>\n<td>0.453</td>\n<td>-12.0148</td>\n</tr>\n<tr>\n<td>Johannes2</td>\n<td>-0.7699</td>\n<td>-0.5199</td>\n<td>-1.4573</td>\n</tr>\n<tr>\n<td>Abdelghani5</td>\n<td>-0.7879</td>\n<td>0.003</td>\n<td>-0.069</td>\n</tr>\n<tr>\n<td>JasonTarzan2</td>\n<td>-0.7972</td>\n<td>0.1843</td>\n<td>0.1715</td>\n</tr>\n<tr>\n<td>JasonTarzan3</td>\n<td>-0.8373</td>\n<td>0.4139</td>\n<td>-0.0457</td>\n</tr>\n<tr>\n<td>K14</td>\n<td>-0.8707</td>\n<td>0.4459</td>\n<td>-19.0715</td>\n</tr>\n<tr>\n<td>K11</td>\n<td>-0.9618</td>\n<td>0.4275</td>\n<td>-15.2131</td>\n</tr>\n<tr>\n<td>Monique3</td>\n<td>-1.046</td>\n<td>-0.0292</td>\n<td>-0.2779</td>\n</tr>\n<tr>\n<td>Jiang3</td>\n<td>-1.0538</td>\n<td>0.2185</td>\n<td>-0.4389</td>\n</tr>\n<tr>\n<td>Jiang1</td>\n<td>-1.0538</td>\n<td>0.2185</td>\n<td>-0.4389</td>\n</tr>\n<tr>\n<td>Monique5</td>\n<td>-1.1663</td>\n<td>-2.2257</td>\n<td>-6.7435</td>\n</tr>\n<tr>\n<td>K12</td>\n<td>-1.1718</td>\n<td>-2.6885</td>\n<td>-1.1253</td>\n</tr>\n<tr>\n<td>K8</td>\n<td>-1.232</td>\n<td>-2.4394</td>\n<td>-1.8217</td>\n</tr>\n<tr>\n<td>Jiang5</td>\n<td>-1.2371</td>\n<td>0.5205</td>\n<td>-0.268</td>\n</tr>\n<tr>\n<td>JasonTarzan1</td>\n<td>-1.2402</td>\n<td>0.294</td>\n<td>-0.1699</td>\n</tr>\n<tr>\n<td>K6</td>\n<td>-1.2995</td>\n<td>-5.5441</td>\n<td>-1.984</td>\n</tr>\n<tr>\n<td>JasonTarzan5</td>\n<td>-1.3462</td>\n<td>-1.1281</td>\n<td>-0.6062</td>\n</tr>\n<tr>\n<td>Jiang6</td>\n<td>-1.4319</td>\n<td>-3.4144</td>\n<td>-0.122</td>\n</tr>\n<tr>\n<td>K9</td>\n<td>-1.4378</td>\n<td>-3.2419</td>\n<td>-1.2659</td>\n</tr>\n<tr>\n<td>Monique10</td>\n<td>-1.5162</td>\n<td>-0.0122</td>\n<td>-0.2779</td>\n</tr>\n<tr>\n<td>Monique1</td>\n<td>-1.5162</td>\n<td>-0.0122</td>\n<td>-0.2779</td>\n</tr>\n<tr>\n<td>Abdelghani2</td>\n<td>-1.5554</td>\n<td>-2.8191</td>\n<td>-41.4001</td>\n</tr>\n<tr>\n<td>Monique2</td>\n<td>-1.6301</td>\n<td>-1.1731</td>\n<td>-0.2715</td>\n</tr>\n<tr>\n<td>Monique7</td>\n<td>-1.7538</td>\n<td>-1.9617</td>\n<td>-4.861</td>\n</tr>\n<tr>\n<td>Johannes3</td>\n<td>-1.7948</td>\n<td>-1.1841</td>\n<td>-1.0573</td>\n</tr>\n<tr>\n<td>yuexiliuli7</td>\n<td>-1.9883</td>\n<td>-0.3159</td>\n<td>-23.2813</td>\n</tr>\n<tr>\n<td>Jiang4</td>\n<td>-2.0099</td>\n<td>-4.4471</td>\n<td>-2.472</td>\n</tr>\n<tr>\n<td>Johannes4</td>\n<td>-2.1137</td>\n<td>-2.905</td>\n<td>-2.8315</td>\n</tr>\n<tr>\n<td>Monique4</td>\n<td>-2.3288</td>\n<td>-1.327</td>\n<td>-7.2944</td>\n</tr>\n<tr>\n<td>Jiang2</td>\n<td>-2.4754</td>\n<td>-3.513</td>\n<td>-4.6779</td>\n</tr>\n<tr>\n<td>Monique9</td>\n<td>-2.9386</td>\n<td>-1.2431</td>\n<td>-8.4138</td>\n</tr>\n<tr>\n<td>yuexiliuli9</td>\n<td>-3.0455</td>\n<td>-0.7044</td>\n<td>-17.2027</td>\n</tr>\n<tr>\n<td>Thomas1</td>\n<td>-3.2773</td>\n<td>-1.8043</td>\n<td>-15.2508</td>\n</tr>\n<tr>\n<td>Abdelghani21</td>\n<td>-5.2269</td>\n<td>-8.2214</td>\n<td>-23.0564</td>\n</tr>\n<tr>\n<td>Abdelghani25</td>\n<td>-5.3518</td>\n<td>-8.1132</td>\n<td>-22.5979</td>\n</tr>\n<tr>\n<td>Abdelghani7</td>\n<td>-5.3518</td>\n<td>-8.1132</td>\n<td>-22.5979</td>\n</tr>\n<tr>\n<td>Lilybelle2</td>\n<td>-5.3518</td>\n<td>-8.1132</td>\n<td>-22.5979</td>\n</tr>\n<tr>\n<td>yuexiliuli1</td>\n<td>-5.4367</td>\n<td>-0.8075</td>\n<td>-13.9148</td>\n</tr>\n<tr>\n<td>yuexiliuli10</td>\n<td>-5.688</td>\n<td>-5.9317</td>\n<td>-22.5848</td>\n</tr>\n<tr>\n<td>yuexiliuli2</td>\n<td>-5.8034</td>\n<td>-2.4714</td>\n<td>-22.614</td>\n</tr>\n<tr>\n<td>yuexiliuli8</td>\n<td>-5.9358</td>\n<td>-5.5684</td>\n<td>-23.2787</td>\n</tr>\n<tr>\n<td>K5</td>\n<td>-6.0147</td>\n<td>-3.59</td>\n<td>-56.1686</td>\n</tr>\n<tr>\n<td>yuexiliuli3</td>\n<td>-6.1589</td>\n<td>-11.1909</td>\n<td>-22.5821</td>\n</tr>\n<tr>\n<td>yuexiliuli5</td>\n<td>-6.2546</td>\n<td>-6.5211</td>\n<td>-23.1889</td>\n</tr>\n<tr>\n<td>yuexiliuli4</td>\n<td>-7.5776</td>\n<td>-2.7282</td>\n<td>-22.3713</td>\n</tr>\n<tr>\n<td>K7</td>\n<td>-8.2054</td>\n<td>-27.6892</td>\n<td>-28.0561</td>\n</tr>\n<tr>\n<td>yuexiliuli6</td>\n<td>-14.9517</td>\n<td>-5.8695</td>\n<td>-68.1515</td>\n</tr>\n<tr>\n<td>Jiang7</td>\n<td>-18.9558</td>\n<td>-4.4471</td>\n<td>-33.8965</td>\n</tr>\n<tr>\n<td>K1</td>\n<td>-24.7473</td>\n<td>-0.2668</td>\n<td>-55.0121</td>\n</tr>\n<tr>\n<td>K13</td>\n<td>-4786.0087</td>\n<td>-37598.0004</td>\n<td>-12626.6688</td>\n</tr>\n<tr>\n<td>K10</td>\n<td>-21135.8054</td>\n<td>-16435.3889</td>\n<td>-1359.258</td>\n</tr>\n</tbody>\n</table>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2935494,
      "author_name": "lilybellesweet",
      "author_url": "",
      "post_date": "07/25/2024 10:47:49",
      "content": "<p><strong>Updated leaderboard for 25th July!</strong> Bold entries are the top five for each category.</p>\n<table>\n<thead>\n<tr>\n<th>Submission</th>\n<th>Validation Median R2</th>\n<th>Validation Iowa R2</th>\n<th>Validation Germany R2</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>Abdelghani21</td>\n<td><strong>0.0984</strong></td>\n<td>0.5723</td>\n<td>0.1124</td>\n</tr>\n<tr>\n<td>Abdelghani11</td>\n<td><strong>0.0983</strong></td>\n<td>0.5676</td>\n<td>0.125</td>\n</tr>\n<tr>\n<td>Abdelghani30</td>\n<td><strong>0.0958</strong></td>\n<td>0.561</td>\n<td>0.1342</td>\n</tr>\n<tr>\n<td>Monique4</td>\n<td><strong>0.0795</strong></td>\n<td>0.5541</td>\n<td>0.136</td>\n</tr>\n<tr>\n<td>Abdelghani5</td>\n<td><strong>0.075</strong></td>\n<td>0.5738</td>\n<td>0.1084</td>\n</tr>\n<tr>\n<td>Abdelghani6</td>\n<td>0.0744</td>\n<td>0.5737</td>\n<td>0.1032</td>\n</tr>\n<tr>\n<td>Abdelghani20</td>\n<td>0.0703</td>\n<td>0.5717</td>\n<td>0.0977</td>\n</tr>\n<tr>\n<td>Abdelghani8</td>\n<td>0.0702</td>\n<td>0.5721</td>\n<td>0.1133</td>\n</tr>\n<tr>\n<td>Monique12</td>\n<td>0.0532</td>\n<td>0.5629</td>\n<td>0.1219</td>\n</tr>\n<tr>\n<td>Abdelghani24</td>\n<td>0.051</td>\n<td>0.617</td>\n<td>0.115</td>\n</tr>\n<tr>\n<td>Abdelghani31</td>\n<td>0.043</td>\n<td>0.5921</td>\n<td>0.1183</td>\n</tr>\n<tr>\n<td>Abdelghani23</td>\n<td>0.0392</td>\n<td>0.6169</td>\n<td>0.1389</td>\n</tr>\n<tr>\n<td>Abdelghani12</td>\n<td>0.0351</td>\n<td>0.5755</td>\n<td>0.1082</td>\n</tr>\n<tr>\n<td>Abdelghani26</td>\n<td>0.0326</td>\n<td>0.5643</td>\n<td>0.0935</td>\n</tr>\n<tr>\n<td>Abdelghani32</td>\n<td>0.005</td>\n<td>0.5333</td>\n<td>0.0645</td>\n</tr>\n<tr>\n<td>Abdelghani7</td>\n<td>0.0027</td>\n<td>0.5814</td>\n<td>0.1255</td>\n</tr>\n<tr>\n<td>Abdelghani18</td>\n<td>-0.0019</td>\n<td>0.576</td>\n<td>0.1159</td>\n</tr>\n<tr>\n<td>Johannes17</td>\n<td>-0.0066</td>\n<td>-0.1648</td>\n<td>0.1255</td>\n</tr>\n<tr>\n<td>Monique13</td>\n<td>-0.0067</td>\n<td>0.1688</td>\n<td>0.1374</td>\n</tr>\n<tr>\n<td>Johannes6</td>\n<td>-0.0123</td>\n<td>-0.6302</td>\n<td>-0.0297</td>\n</tr>\n<tr>\n<td>Abdelghani19</td>\n<td>-0.0134</td>\n<td>0.5699</td>\n<td>0.1058</td>\n</tr>\n<tr>\n<td>Johannes20</td>\n<td>-0.0168</td>\n<td>-0.2099</td>\n<td>-0.0358</td>\n</tr>\n<tr>\n<td>Johannes5</td>\n<td>-0.0176</td>\n<td>0.0521</td>\n<td>0.0434</td>\n</tr>\n<tr>\n<td>Johannes15</td>\n<td>-0.0185</td>\n<td>-0.1494</td>\n<td>-0.0392</td>\n</tr>\n<tr>\n<td>Abdelghani10</td>\n<td>-0.0199</td>\n<td>0.5984</td>\n<td>0.1719</td>\n</tr>\n<tr>\n<td>Johannes1</td>\n<td>-0.0214</td>\n<td>-0.6362</td>\n<td>-0.0465</td>\n</tr>\n<tr>\n<td>Abdelghani1</td>\n<td>-0.0239</td>\n<td>0.5631</td>\n<td>0.0951</td>\n</tr>\n<tr>\n<td>Johannes18</td>\n<td>-0.0291</td>\n<td>-0.8114</td>\n<td>0.117</td>\n</tr>\n<tr>\n<td>Johannes11</td>\n<td>-0.0359</td>\n<td>-0.2832</td>\n<td>-0.0131</td>\n</tr>\n<tr>\n<td>Abdelghani15</td>\n<td>-0.0387</td>\n<td>0.5556</td>\n<td>0.0839</td>\n</tr>\n<tr>\n<td>Abdelghani33</td>\n<td>-0.0387</td>\n<td>0.5556</td>\n<td>0.0839</td>\n</tr>\n<tr>\n<td>Abdelghani2</td>\n<td>-0.0413</td>\n<td>0.4869</td>\n<td>0.0855</td>\n</tr>\n<tr>\n<td>Johannes16</td>\n<td>-0.0418</td>\n<td>-0.345</td>\n<td>0.0767</td>\n</tr>\n<tr>\n<td>Johannes21</td>\n<td>-0.0448</td>\n<td>-0.6308</td>\n<td>0.08</td>\n</tr>\n<tr>\n<td>Abdelghani3</td>\n<td>-0.0693</td>\n<td>0.4633</td>\n<td>0.064</td>\n</tr>\n<tr>\n<td>Abdelghani16</td>\n<td>-0.1319</td>\n<td>0.4343</td>\n<td>0.0658</td>\n</tr>\n<tr>\n<td>Monique11</td>\n<td>-0.1639</td>\n<td><strong>0.7599</strong></td>\n<td><strong>0.1983</strong></td>\n</tr>\n<tr>\n<td>K4</td>\n<td>-0.1658</td>\n<td>0.4537</td>\n<td><strong>0.235</strong></td>\n</tr>\n<tr>\n<td>K10</td>\n<td>-0.1658</td>\n<td>0.4537</td>\n<td><strong>0.235</strong></td>\n</tr>\n<tr>\n<td>Divya2</td>\n<td>-0.1808</td>\n<td>0.4543</td>\n<td>0.1801</td>\n</tr>\n<tr>\n<td>Johannes12</td>\n<td>-0.1906</td>\n<td>-0.717</td>\n<td>0.01</td>\n</tr>\n<tr>\n<td>Abdelghani17</td>\n<td>-0.2021</td>\n<td>-0.5034</td>\n<td>-0.0258</td>\n</tr>\n<tr>\n<td>Monique6</td>\n<td>-0.2307</td>\n<td>-0.7257</td>\n<td>-0.0181</td>\n</tr>\n<tr>\n<td>Divya1</td>\n<td>-0.2443</td>\n<td>0.2476</td>\n<td>0.1434</td>\n</tr>\n<tr>\n<td>Abdelghani13</td>\n<td>-0.2712</td>\n<td>-0.5237</td>\n<td>-0.0151</td>\n</tr>\n<tr>\n<td>Abdelghani4</td>\n<td>-0.2722</td>\n<td>-0.5479</td>\n<td>-0.2447</td>\n</tr>\n<tr>\n<td>Lilybelle2</td>\n<td>-0.3237</td>\n<td>0.4267</td>\n<td>0.0434</td>\n</tr>\n<tr>\n<td>Johannes13</td>\n<td>-0.3239</td>\n<td>0.2614</td>\n<td>-0.3375</td>\n</tr>\n<tr>\n<td>Monique16</td>\n<td>-0.3302</td>\n<td>0.5687</td>\n<td><strong>0.2064</strong></td>\n</tr>\n<tr>\n<td>Monique17</td>\n<td>-0.3341</td>\n<td><strong>0.7025</strong></td>\n<td>0.1672</td>\n</tr>\n<tr>\n<td>Monique19</td>\n<td>-0.3373</td>\n<td>-2.794</td>\n<td>-0.0167</td>\n</tr>\n<tr>\n<td>Abdelghani29</td>\n<td>-0.3422</td>\n<td>0.5622</td>\n<td>0.1389</td>\n</tr>\n<tr>\n<td>Abdelghani25</td>\n<td>-0.3422</td>\n<td>0.5622</td>\n<td>0.1389</td>\n</tr>\n<tr>\n<td>Lilybelle1</td>\n<td>-0.3586</td>\n<td>-2.8099</td>\n<td>-0.0279</td>\n</tr>\n<tr>\n<td>Monique10</td>\n<td>-0.3655</td>\n<td>0.6148</td>\n<td><strong>0.2401</strong></td>\n</tr>\n<tr>\n<td>Johannes2</td>\n<td>-0.3713</td>\n<td>-2.3285</td>\n<td>0.0249</td>\n</tr>\n<tr>\n<td>Jonathan4</td>\n<td>-0.457</td>\n<td>-3.7363</td>\n<td>0.0177</td>\n</tr>\n<tr>\n<td>Jonathan1</td>\n<td>-0.4632</td>\n<td>-3.6195</td>\n<td>0.0592</td>\n</tr>\n<tr>\n<td>Jonathan3</td>\n<td>-0.4632</td>\n<td>-3.6195</td>\n<td>0.0592</td>\n</tr>\n<tr>\n<td>Johannes22</td>\n<td>-0.4742</td>\n<td>-0.0028</td>\n<td><strong>0.2706</strong></td>\n</tr>\n<tr>\n<td>Jonathan2</td>\n<td>-0.4874</td>\n<td>-3.6378</td>\n<td>0.0373</td>\n</tr>\n<tr>\n<td>Monique14</td>\n<td>-0.5523</td>\n<td><strong>0.6535</strong></td>\n<td>0.1653</td>\n</tr>\n<tr>\n<td>AmittKumarrSrivastava3</td>\n<td>-0.5528</td>\n<td>0.6285</td>\n<td>0.1671</td>\n</tr>\n<tr>\n<td>Monique15</td>\n<td>-0.5618</td>\n<td>0.513</td>\n<td>-0.0133</td>\n</tr>\n<tr>\n<td>Monique5</td>\n<td>-0.5618</td>\n<td>0.513</td>\n<td>-0.0133</td>\n</tr>\n<tr>\n<td>AmittKumarrSrivastava4</td>\n<td>-0.5768</td>\n<td><strong>0.7597</strong></td>\n<td>0.1903</td>\n</tr>\n<tr>\n<td>Monique2</td>\n<td>-0.5799</td>\n<td><strong>0.6531</strong></td>\n<td>0.0391</td>\n</tr>\n<tr>\n<td>Johannes7</td>\n<td>-0.6036</td>\n<td>-3.5369</td>\n<td>-0.042</td>\n</tr>\n<tr>\n<td>AmittKumarrSrivastava5</td>\n<td>-0.6128</td>\n<td>0.4357</td>\n<td>0.0929</td>\n</tr>\n<tr>\n<td>Johannes19</td>\n<td>-0.6176</td>\n<td>0.3287</td>\n<td>-0.8237</td>\n</tr>\n<tr>\n<td>Johannes8</td>\n<td>-0.6176</td>\n<td>0.3287</td>\n<td>-0.8237</td>\n</tr>\n<tr>\n<td>Abdelghani9</td>\n<td>-0.6225</td>\n<td>-0.8669</td>\n<td>-0.3743</td>\n</tr>\n<tr>\n<td>Lilybelle3</td>\n<td>-0.6497</td>\n<td>0.3706</td>\n<td>0.0267</td>\n</tr>\n<tr>\n<td>AmittKumarrSrivastava1</td>\n<td>-0.6527</td>\n<td>0.4069</td>\n<td>0.0403</td>\n</tr>\n<tr>\n<td>AmittKumarrSrivastava2</td>\n<td>-0.6527</td>\n<td>0.4069</td>\n<td>0.0403</td>\n</tr>\n<tr>\n<td>Monique1</td>\n<td>-0.6833</td>\n<td>-0.0321</td>\n<td>-0.033</td>\n</tr>\n<tr>\n<td>Johannes3</td>\n<td>-0.6975</td>\n<td>-0.6625</td>\n<td>-2.1401</td>\n</tr>\n<tr>\n<td>JasonTarzan4</td>\n<td>-0.723</td>\n<td>0.148</td>\n<td>-0.008</td>\n</tr>\n<tr>\n<td>K5</td>\n<td>-0.7393</td>\n<td>0.453</td>\n<td>-12.0148</td>\n</tr>\n<tr>\n<td>Johannes14</td>\n<td>-0.7699</td>\n<td>-0.5199</td>\n<td>-1.4573</td>\n</tr>\n<tr>\n<td>Abdelghani28</td>\n<td>-0.7879</td>\n<td>0.003</td>\n<td>-0.069</td>\n</tr>\n<tr>\n<td>JasonTarzan2</td>\n<td>-0.7972</td>\n<td>0.1843</td>\n<td>0.1715</td>\n</tr>\n<tr>\n<td>JasonTarzan5</td>\n<td>-0.8373</td>\n<td>0.4139</td>\n<td>-0.0457</td>\n</tr>\n<tr>\n<td>K14</td>\n<td>-0.8707</td>\n<td>0.4459</td>\n<td>-19.0715</td>\n</tr>\n<tr>\n<td>K9</td>\n<td>-0.9618</td>\n<td>0.4275</td>\n<td>-15.2131</td>\n</tr>\n<tr>\n<td>Monique22</td>\n<td>-1.046</td>\n<td>-0.0292</td>\n<td>-0.2779</td>\n</tr>\n<tr>\n<td>Jiang6</td>\n<td>-1.0538</td>\n<td>0.2185</td>\n<td>-0.4389</td>\n</tr>\n<tr>\n<td>Jiang3</td>\n<td>-1.0538</td>\n<td>0.2185</td>\n<td>-0.4389</td>\n</tr>\n<tr>\n<td>yuexiliuli5</td>\n<td>-1.1213</td>\n<td>-0.0236</td>\n<td>-0.2779</td>\n</tr>\n<tr>\n<td>Monique3</td>\n<td>-1.1663</td>\n<td>-2.2257</td>\n<td>-6.7435</td>\n</tr>\n<tr>\n<td>K12</td>\n<td>-1.1718</td>\n<td>-2.6885</td>\n<td>-1.1253</td>\n</tr>\n<tr>\n<td>Johannes9</td>\n<td>-1.1726</td>\n<td>0.454</td>\n<td>-0.4443</td>\n</tr>\n<tr>\n<td>yuexiliuli12</td>\n<td>-1.1951</td>\n<td>-1.4452</td>\n<td>0.0314</td>\n</tr>\n<tr>\n<td>yuexiliuli24</td>\n<td>-1.2294</td>\n<td>-0.3931</td>\n<td>-1.1102</td>\n</tr>\n<tr>\n<td>K1</td>\n<td>-1.232</td>\n<td>-2.4394</td>\n<td>-1.8217</td>\n</tr>\n<tr>\n<td>Jiang7</td>\n<td>-1.2371</td>\n<td>0.5205</td>\n<td>-0.268</td>\n</tr>\n<tr>\n<td>JasonTarzan1</td>\n<td>-1.2402</td>\n<td>0.294</td>\n<td>-0.1699</td>\n</tr>\n<tr>\n<td>yuexiliuli4</td>\n<td>-1.2554</td>\n<td>0.1683</td>\n<td>-1.4837</td>\n</tr>\n<tr>\n<td>yuexiliuli22</td>\n<td>-1.296</td>\n<td>-0.5994</td>\n<td>-0.95</td>\n</tr>\n<tr>\n<td>K6</td>\n<td>-1.2995</td>\n<td>-5.5441</td>\n<td>-1.984</td>\n</tr>\n<tr>\n<td>yuexiliuli17</td>\n<td>-1.3151</td>\n<td>0.1852</td>\n<td>0.1641</td>\n</tr>\n<tr>\n<td>JasonTarzan3</td>\n<td>-1.3462</td>\n<td>-1.1281</td>\n<td>-0.6062</td>\n</tr>\n<tr>\n<td>Jiang4</td>\n<td>-1.4319</td>\n<td>-3.4144</td>\n<td>-0.122</td>\n</tr>\n<tr>\n<td>K7</td>\n<td>-1.4378</td>\n<td>-3.2419</td>\n<td>-1.2659</td>\n</tr>\n<tr>\n<td>RonvanBree1</td>\n<td>-1.4472</td>\n<td>0.4056</td>\n<td>-0.5598</td>\n</tr>\n<tr>\n<td>yuexiliuli13</td>\n<td>-1.4641</td>\n<td>-11.0763</td>\n<td>-0.291</td>\n</tr>\n<tr>\n<td>Monique9</td>\n<td>-1.5162</td>\n<td>-0.0122</td>\n<td>-0.2779</td>\n</tr>\n<tr>\n<td>Monique18</td>\n<td>-1.5162</td>\n<td>-0.0122</td>\n<td>-0.2779</td>\n</tr>\n<tr>\n<td>yuexiliuli6</td>\n<td>-1.5375</td>\n<td>-7.5931</td>\n<td>-2.0214</td>\n</tr>\n<tr>\n<td>yuexiliuli20</td>\n<td>-1.5391</td>\n<td>-0.3425</td>\n<td>-1.0263</td>\n</tr>\n<tr>\n<td>Abdelghani22</td>\n<td>-1.5554</td>\n<td>-2.8191</td>\n<td>-41.4001</td>\n</tr>\n<tr>\n<td>yuexiliuli8</td>\n<td>-1.6052</td>\n<td>-1.2212</td>\n<td>-1.3027</td>\n</tr>\n<tr>\n<td>Monique20</td>\n<td>-1.6301</td>\n<td>-1.1731</td>\n<td>-0.2715</td>\n</tr>\n<tr>\n<td>Monique21</td>\n<td>-1.7538</td>\n<td>-1.9617</td>\n<td>-4.861</td>\n</tr>\n<tr>\n<td>yuexiliuli14</td>\n<td>-1.7705</td>\n<td>-0.267</td>\n<td>-0.7969</td>\n</tr>\n<tr>\n<td>yuexiliuli15</td>\n<td>-1.7857</td>\n<td>0.0867</td>\n<td>-0.8558</td>\n</tr>\n<tr>\n<td>RonvanBree2</td>\n<td>-1.7915</td>\n<td>-0.9004</td>\n<td>-0.5063</td>\n</tr>\n<tr>\n<td>Johannes4</td>\n<td>-1.7948</td>\n<td>-1.1841</td>\n<td>-1.0573</td>\n</tr>\n<tr>\n<td>yuexiliuli10</td>\n<td>-1.9883</td>\n<td>-0.3159</td>\n<td>-23.2813</td>\n</tr>\n<tr>\n<td>Jiang2</td>\n<td>-2.0099</td>\n<td>-4.4471</td>\n<td>-2.472</td>\n</tr>\n<tr>\n<td>Johannes10</td>\n<td>-2.1137</td>\n<td>-2.905</td>\n<td>-2.8315</td>\n</tr>\n<tr>\n<td>Monique7</td>\n<td>-2.3288</td>\n<td>-1.327</td>\n<td>-7.2944</td>\n</tr>\n<tr>\n<td>Jiang1</td>\n<td>-2.4754</td>\n<td>-3.513</td>\n<td>-4.6779</td>\n</tr>\n<tr>\n<td>Monique8</td>\n<td>-2.9386</td>\n<td>-1.2431</td>\n<td>-8.4138</td>\n</tr>\n<tr>\n<td>yuexiliuli25</td>\n<td>-3.0455</td>\n<td>-0.7044</td>\n<td>-17.2027</td>\n</tr>\n<tr>\n<td>Thomas1</td>\n<td>-3.2773</td>\n<td>-1.8043</td>\n<td>-15.2508</td>\n</tr>\n<tr>\n<td>Abdelghani14</td>\n<td>-5.2269</td>\n<td>-8.2214</td>\n<td>-23.0564</td>\n</tr>\n<tr>\n<td>Abdelghani27</td>\n<td>-5.3518</td>\n<td>-8.1132</td>\n<td>-22.5979</td>\n</tr>\n<tr>\n<td>Abdelghani34</td>\n<td>-5.3518</td>\n<td>-8.1132</td>\n<td>-22.5979</td>\n</tr>\n<tr>\n<td>Lilybelle4</td>\n<td>-5.3518</td>\n<td>-8.1132</td>\n<td>-22.5979</td>\n</tr>\n<tr>\n<td>yuexiliuli19</td>\n<td>-5.4367</td>\n<td>-0.8075</td>\n<td>-13.9148</td>\n</tr>\n<tr>\n<td>yuexiliuli26</td>\n<td>-5.688</td>\n<td>-5.9317</td>\n<td>-22.5848</td>\n</tr>\n<tr>\n<td>yuexiliuli16</td>\n<td>-5.8034</td>\n<td>-2.4714</td>\n<td>-22.614</td>\n</tr>\n<tr>\n<td>yuexiliuli9</td>\n<td>-5.9358</td>\n<td>-5.5684</td>\n<td>-23.2787</td>\n</tr>\n<tr>\n<td>K8</td>\n<td>-6.0147</td>\n<td>-3.59</td>\n<td>-56.1686</td>\n</tr>\n<tr>\n<td>yuexiliuli2</td>\n<td>-6.1589</td>\n<td>-11.1909</td>\n<td>-22.5821</td>\n</tr>\n<tr>\n<td>yuexiliuli1</td>\n<td>-6.2546</td>\n<td>-6.5211</td>\n<td>-23.1889</td>\n</tr>\n<tr>\n<td>yuexiliuli3</td>\n<td>-7.5776</td>\n<td>-2.7282</td>\n<td>-22.3713</td>\n</tr>\n<tr>\n<td>K13</td>\n<td>-8.2054</td>\n<td>-27.6892</td>\n<td>-28.0561</td>\n</tr>\n<tr>\n<td>yuexiliuli7</td>\n<td>-9.1963</td>\n<td>-12.9769</td>\n<td>-46.3724</td>\n</tr>\n<tr>\n<td>yuexiliuli11</td>\n<td>-14.9517</td>\n<td>-5.8695</td>\n<td>-68.1515</td>\n</tr>\n<tr>\n<td>yuexiliuli21</td>\n<td>-17.9077</td>\n<td>-24.8179</td>\n<td>-50.9584</td>\n</tr>\n<tr>\n<td>yuexiliuli23</td>\n<td>-17.9081</td>\n<td>-24.356</td>\n<td>-51.5917</td>\n</tr>\n<tr>\n<td>Jiang5</td>\n<td>-18.9558</td>\n<td>-4.4471</td>\n<td>-33.8965</td>\n</tr>\n<tr>\n<td>K2</td>\n<td>-24.7473</td>\n<td>-0.2668</td>\n<td>-55.0121</td>\n</tr>\n<tr>\n<td>yuexiliuli18</td>\n<td>-26.1638</td>\n<td>-14.6006</td>\n<td>-0.0259</td>\n</tr>\n<tr>\n<td>K3</td>\n<td>-4786.0087</td>\n<td>-37598.0004</td>\n<td>-12626.6688</td>\n</tr>\n<tr>\n<td>K11</td>\n<td>-21135.8054</td>\n<td>-16435.3889</td>\n<td>-1359.258</td>\n</tr>\n</tbody>\n</table>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2935667,
      "author_name": "lilybellesweet",
      "author_url": "",
      "post_date": "07/25/2024 13:38:36",
      "content": "<p>**This leaderboard is incorrect! ** Thanks Monique for noticing the bug. I've created a <a href=\"https://www.kaggle.com/competitions/the-future-crop-challenge/discussion/522309\" target=\"_blank\">new post</a> instead, please refer to the leaderboard there instead.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2900623": "**Due to a bug in the code, this leaderboard isn't correct - see the new [post](https://www.kaggle.com/competitions/the-future-crop-challenge/discussion/522309) instead!**\n\nWe're not only looking for the best performance in terms of RMSE, but also in terms of how well the models can capture the variability of annual production in breadbasket regions (Iowa for maize, Germany for wheat). Furthermore, as we find that often models overfit spatially but don't manage to get the temporal variability at each gridcell, we also measure the median R2 over all gridcells.\n\nStarting this week, we plan to calculate the scores on these metrics for the validation years (2020-2050) and share the results at ~weekly intervals, so you can see how well your models are performing.\n\nThe number next to your first name or initial indicates which of your submissions this represents - 1 would be the first you submitted, etc. Bold denotes the top three entries for that particular metric.\n\nShould we consider other metrics as well? Interested in your thoughts!\n\n**Don't forget - to enter the competition it's compulsory to share your code. Please make your notebooks public or contact us to share!**\n\nSubmission|Validation Median R2|Validation Iowa R2|Validation Germany R2\n---|---|---|---\nAbdelghani7|**-0.0387**|0.5556|0.0839\nK10|**-0.1658**|0.4537|**0.235**\nK8|**-0.1658**|0.4537|**0.235**\nDivya1|**-0.1808**|0.4543|**0.1801**\nAbdelghani5|-0.2021|-0.5034|-0.0258\nAbdelghani11|-0.2712|-0.5237|-0.0151\nAbdelghani4|-0.2722|-0.5479|-0.2447\nLilybelle3|-0.3237|0.4267|0.0434\nAbdelghani2|-0.3422|0.5622|0.1389\nAbdelghani1|-0.3422|**0.5622**|0.1389\nLilybelle4|-0.3586|-2.8099|-0.0279\nJonathan3|-0.4632|-3.6195|0.0592\nJonathan1|-0.4632|-3.6195|0.0592\nJonathan2|-0.4874|-3.6378|0.0373\nMonique5|-0.5523|**0.6535**|0.1653\nMonique8|-0.5618|0.513|-0.0133\nMonique7|-0.5618|0.513|-0.0133\nMonique3|-0.5799|**0.6531**|0.0391\nAbdelghani6|-0.6225|-0.8669|-0.3743\nLilybelle2|-0.6497|0.3706|0.0267\nMonique6|-0.6833|-0.0321|-0.033\nJasonTarzan2|-0.723|0.148|-0.008\nK5|-0.7393|0.453|-12.0148\nAbdelghani9|-0.7879|0.003|-0.069\nJasonTarzan1|-0.7972|0.1843|**0.1715**\nJasonTarzan3|-0.8373|0.4139|-0.0457\nK6|-0.9618|0.4275|-15.2131\nMonique1|-1.046|-0.0292|-0.2779\nK2|-1.1718|-2.6885|-1.1253\nK9|-1.232|-2.4394|-1.8217\nJasonTarzan4|-1.2402|0.294|-0.1699\nJasonTarzan5|-1.3462|-1.1281|-0.6062\nK1|-1.4378|-3.2419|-1.2659\nMonique9|-1.5162|-0.0122|-0.2779\nMonique4|-1.5162|-0.0122|-0.2779\nAbdelghani8|-1.5554|-2.8191|-41.4001\nMonique2|-2.9386|-1.2431|-8.4138\nThomas1|-3.2773|-1.8043|-15.2508\nAbdelghani10|-5.2269|-8.2214|-23.0564\nAbdelghani3|-5.3518|-8.1132|-22.5979\nAbdelghani12|-5.3518|-8.1132|-22.5979\nLilybelle1|-5.3518|-8.1132|-22.5979\nK4|-8.2054|-27.6892|-28.0561\nK7|-24.7473|-0.2668|-55.0121\nK3|-4786.0087|-37598.0004|-12626.6688\n\n\n@abdelghanibelgaid @knarenderreddy @divyasitani @jonathanwider @picsoflily @jasontarzan @lobsterjesus \n\n*Note: baseline model submissions from co-organisers (Lily, Monique, Thomas) aren't eligible for placing in the competition, but I include them in these leaderboards to help participants compare against the baseline models.*",
    "2900635": "abdelghanibelgaid @knarenderreddy @divyasitani @jonathanwider @picsoflily @jasontarzan @lobsterjesus",
    "2924118": "**Updated leaderboard for 16th July!** Bold entries are the top five for each item.\n\n**Submission|Validation Median R2|Validation Iowa R2|Validation Germany R2**\n---|---|---|---\nAbdelghani24|**0.051**|0.617|0.115\nAbdelghani13|**0.043**|0.5921|0.1183\nAbdelghani3|**0.0392**|0.6169|0.1389\nAbdelghani15|**0.0351**|0.5755|0.1082\nAbdelghani19|**0.0326**|0.5643|0.0935\nAbdelghani9|0.005|0.5333|0.0645\nAbdelghani6|0.0027|0.5814|0.1255\nAbdelghani14|-0.0019|0.576|0.1159\nAbdelghani11|-0.0134|0.5699|0.1058\nAbdelghani12|-0.0199|0.5984|0.1719\nAbdelghani22|-0.0239|0.5631|0.0951\nAbdelghani23|-0.0387|0.5556|0.0839\nAbdelghani18|-0.0387|0.5556|0.0839\nAbdelghani27|-0.0413|0.4869|0.0855\nAbdelghani17|-0.0693|0.4633|0.064\nAbdelghani26|-0.1319|0.4343|0.0658\nMonique13|-0.1639|**0.7599**|**0.1983**\nK2|-0.1658|0.4537|**0.235**\nK4|-0.1658|0.4537|**0.235**\nDivya2|-0.1808|0.4543|0.1801\nAbdelghani4|-0.2021|-0.5034|-0.0258\nDivya1|-0.2443|0.2476|0.1434\nAbdelghani1|-0.2712|-0.5237|-0.0151\nAbdelghani16|-0.2722|-0.5479|-0.2447\nLilybelle1|-0.3237|0.4267|0.0434\nMonique16|-0.3302|0.5687|**0.2064**\nMonique17|-0.3341|**0.7025**|0.1672\nAbdelghani10|-0.3422|0.5622|0.1389\nAbdelghani8|-0.3422|0.5622|0.1389\nLilybelle3|-0.3586|-2.8099|-0.0279\nMonique12|-0.3655|0.6148|**0.2401**\nJonathan1|-0.457|-3.7363|0.0177\nJonathan3|-0.4632|-3.6195|0.0592\nJonathan2|-0.4632|-3.6195|0.0592\nJonathan4|-0.4874|-3.6378|0.0373\nMonique14|-0.5523|**0.6535**|0.1653\nAmittKumarrSrivastava2|-0.5528|0.6285|0.1671\nMonique15|-0.5618|0.513|-0.0133\nMonique6|-0.5618|0.513|-0.0133\nAmittKumarrSrivastava4|-0.5768|**0.7597**|**0.1903**\nMonique11|-0.5799|**0.6531**|0.0391\nAmittKumarrSrivastava1|-0.6128|0.4357|0.0929\nAbdelghani20|-0.6225|-0.8669|-0.3743\nLilybelle4|-0.6497|0.3706|0.0267\nAmittKumarrSrivastava3|-0.6527|0.4069|0.0403\nAmittKumarrSrivastava5|-0.6527|0.4069|0.0403\nMonique8|-0.6833|-0.0321|-0.033\nJohannes1|-0.6975|-0.6625|-2.1401\nJasonTarzan4|-0.723|0.148|-0.008\nK3|-0.7393|0.453|-12.0148\nJohannes2|-0.7699|-0.5199|-1.4573\nAbdelghani5|-0.7879|0.003|-0.069\nJasonTarzan2|-0.7972|0.1843|0.1715\nJasonTarzan3|-0.8373|0.4139|-0.0457\nK14|-0.8707|0.4459|-19.0715\nK11|-0.9618|0.4275|-15.2131\nMonique3|-1.046|-0.0292|-0.2779\nJiang3|-1.0538|0.2185|-0.4389\nJiang1|-1.0538|0.2185|-0.4389\nMonique5|-1.1663|-2.2257|-6.7435\nK12|-1.1718|-2.6885|-1.1253\nK8|-1.232|-2.4394|-1.8217\nJiang5|-1.2371|0.5205|-0.268\nJasonTarzan1|-1.2402|0.294|-0.1699\nK6|-1.2995|-5.5441|-1.984\nJasonTarzan5|-1.3462|-1.1281|-0.6062\nJiang6|-1.4319|-3.4144|-0.122\nK9|-1.4378|-3.2419|-1.2659\nMonique10|-1.5162|-0.0122|-0.2779\nMonique1|-1.5162|-0.0122|-0.2779\nAbdelghani2|-1.5554|-2.8191|-41.4001\nMonique2|-1.6301|-1.1731|-0.2715\nMonique7|-1.7538|-1.9617|-4.861\nJohannes3|-1.7948|-1.1841|-1.0573\nyuexiliuli7|-1.9883|-0.3159|-23.2813\nJiang4|-2.0099|-4.4471|-2.472\nJohannes4|-2.1137|-2.905|-2.8315\nMonique4|-2.3288|-1.327|-7.2944\nJiang2|-2.4754|-3.513|-4.6779\nMonique9|-2.9386|-1.2431|-8.4138\nyuexiliuli9|-3.0455|-0.7044|-17.2027\nThomas1|-3.2773|-1.8043|-15.2508\nAbdelghani21|-5.2269|-8.2214|-23.0564\nAbdelghani25|-5.3518|-8.1132|-22.5979\nAbdelghani7|-5.3518|-8.1132|-22.5979\nLilybelle2|-5.3518|-8.1132|-22.5979\nyuexiliuli1|-5.4367|-0.8075|-13.9148\nyuexiliuli10|-5.688|-5.9317|-22.5848\nyuexiliuli2|-5.8034|-2.4714|-22.614\nyuexiliuli8|-5.9358|-5.5684|-23.2787\nK5|-6.0147|-3.59|-56.1686\nyuexiliuli3|-6.1589|-11.1909|-22.5821\nyuexiliuli5|-6.2546|-6.5211|-23.1889\nyuexiliuli4|-7.5776|-2.7282|-22.3713\nK7|-8.2054|-27.6892|-28.0561\nyuexiliuli6|-14.9517|-5.8695|-68.1515\nJiang7|-18.9558|-4.4471|-33.8965\nK1|-24.7473|-0.2668|-55.0121\nK13|-4786.0087|-37598.0004|-12626.6688\nK10|-21135.8054|-16435.3889|-1359.258",
    "2935494": "**Updated leaderboard for 25th July!** Bold entries are the top five for each category.\n\nSubmission|Validation Median R2|Validation Iowa R2|Validation Germany R2\n---|---|---|---\nAbdelghani21|**0.0984**|0.5723|0.1124\nAbdelghani11|**0.0983**|0.5676|0.125\nAbdelghani30|**0.0958**|0.561|0.1342\nMonique4|**0.0795**|0.5541|0.136\nAbdelghani5|**0.075**|0.5738|0.1084\nAbdelghani6|0.0744|0.5737|0.1032\nAbdelghani20|0.0703|0.5717|0.0977\nAbdelghani8|0.0702|0.5721|0.1133\nMonique12|0.0532|0.5629|0.1219\nAbdelghani24|0.051|0.617|0.115\nAbdelghani31|0.043|0.5921|0.1183\nAbdelghani23|0.0392|0.6169|0.1389\nAbdelghani12|0.0351|0.5755|0.1082\nAbdelghani26|0.0326|0.5643|0.0935\nAbdelghani32|0.005|0.5333|0.0645\nAbdelghani7|0.0027|0.5814|0.1255\nAbdelghani18|-0.0019|0.576|0.1159\nJohannes17|-0.0066|-0.1648|0.1255\nMonique13|-0.0067|0.1688|0.1374\nJohannes6|-0.0123|-0.6302|-0.0297\nAbdelghani19|-0.0134|0.5699|0.1058\nJohannes20|-0.0168|-0.2099|-0.0358\nJohannes5|-0.0176|0.0521|0.0434\nJohannes15|-0.0185|-0.1494|-0.0392\nAbdelghani10|-0.0199|0.5984|0.1719\nJohannes1|-0.0214|-0.6362|-0.0465\nAbdelghani1|-0.0239|0.5631|0.0951\nJohannes18|-0.0291|-0.8114|0.117\nJohannes11|-0.0359|-0.2832|-0.0131\nAbdelghani15|-0.0387|0.5556|0.0839\nAbdelghani33|-0.0387|0.5556|0.0839\nAbdelghani2|-0.0413|0.4869|0.0855\nJohannes16|-0.0418|-0.345|0.0767\nJohannes21|-0.0448|-0.6308|0.08\nAbdelghani3|-0.0693|0.4633|0.064\nAbdelghani16|-0.1319|0.4343|0.0658\nMonique11|-0.1639|**0.7599**|**0.1983**\nK4|-0.1658|0.4537|**0.235**\nK10|-0.1658|0.4537|**0.235**\nDivya2|-0.1808|0.4543|0.1801\nJohannes12|-0.1906|-0.717|0.01\nAbdelghani17|-0.2021|-0.5034|-0.0258\nMonique6|-0.2307|-0.7257|-0.0181\nDivya1|-0.2443|0.2476|0.1434\nAbdelghani13|-0.2712|-0.5237|-0.0151\nAbdelghani4|-0.2722|-0.5479|-0.2447\nLilybelle2|-0.3237|0.4267|0.0434\nJohannes13|-0.3239|0.2614|-0.3375\nMonique16|-0.3302|0.5687|**0.2064**\nMonique17|-0.3341|**0.7025**|0.1672\nMonique19|-0.3373|-2.794|-0.0167\nAbdelghani29|-0.3422|0.5622|0.1389\nAbdelghani25|-0.3422|0.5622|0.1389\nLilybelle1|-0.3586|-2.8099|-0.0279\nMonique10|-0.3655|0.6148|**0.2401**\nJohannes2|-0.3713|-2.3285|0.0249\nJonathan4|-0.457|-3.7363|0.0177\nJonathan1|-0.4632|-3.6195|0.0592\nJonathan3|-0.4632|-3.6195|0.0592\nJohannes22|-0.4742|-0.0028|**0.2706**\nJonathan2|-0.4874|-3.6378|0.0373\nMonique14|-0.5523|**0.6535**|0.1653\nAmittKumarrSrivastava3|-0.5528|0.6285|0.1671\nMonique15|-0.5618|0.513|-0.0133\nMonique5|-0.5618|0.513|-0.0133\nAmittKumarrSrivastava4|-0.5768|**0.7597**|0.1903\nMonique2|-0.5799|**0.6531**|0.0391\nJohannes7|-0.6036|-3.5369|-0.042\nAmittKumarrSrivastava5|-0.6128|0.4357|0.0929\nJohannes19|-0.6176|0.3287|-0.8237\nJohannes8|-0.6176|0.3287|-0.8237\nAbdelghani9|-0.6225|-0.8669|-0.3743\nLilybelle3|-0.6497|0.3706|0.0267\nAmittKumarrSrivastava1|-0.6527|0.4069|0.0403\nAmittKumarrSrivastava2|-0.6527|0.4069|0.0403\nMonique1|-0.6833|-0.0321|-0.033\nJohannes3|-0.6975|-0.6625|-2.1401\nJasonTarzan4|-0.723|0.148|-0.008\nK5|-0.7393|0.453|-12.0148\nJohannes14|-0.7699|-0.5199|-1.4573\nAbdelghani28|-0.7879|0.003|-0.069\nJasonTarzan2|-0.7972|0.1843|0.1715\nJasonTarzan5|-0.8373|0.4139|-0.0457\nK14|-0.8707|0.4459|-19.0715\nK9|-0.9618|0.4275|-15.2131\nMonique22|-1.046|-0.0292|-0.2779\nJiang6|-1.0538|0.2185|-0.4389\nJiang3|-1.0538|0.2185|-0.4389\nyuexiliuli5|-1.1213|-0.0236|-0.2779\nMonique3|-1.1663|-2.2257|-6.7435\nK12|-1.1718|-2.6885|-1.1253\nJohannes9|-1.1726|0.454|-0.4443\nyuexiliuli12|-1.1951|-1.4452|0.0314\nyuexiliuli24|-1.2294|-0.3931|-1.1102\nK1|-1.232|-2.4394|-1.8217\nJiang7|-1.2371|0.5205|-0.268\nJasonTarzan1|-1.2402|0.294|-0.1699\nyuexiliuli4|-1.2554|0.1683|-1.4837\nyuexiliuli22|-1.296|-0.5994|-0.95\nK6|-1.2995|-5.5441|-1.984\nyuexiliuli17|-1.3151|0.1852|0.1641\nJasonTarzan3|-1.3462|-1.1281|-0.6062\nJiang4|-1.4319|-3.4144|-0.122\nK7|-1.4378|-3.2419|-1.2659\nRonvanBree1|-1.4472|0.4056|-0.5598\nyuexiliuli13|-1.4641|-11.0763|-0.291\nMonique9|-1.5162|-0.0122|-0.2779\nMonique18|-1.5162|-0.0122|-0.2779\nyuexiliuli6|-1.5375|-7.5931|-2.0214\nyuexiliuli20|-1.5391|-0.3425|-1.0263\nAbdelghani22|-1.5554|-2.8191|-41.4001\nyuexiliuli8|-1.6052|-1.2212|-1.3027\nMonique20|-1.6301|-1.1731|-0.2715\nMonique21|-1.7538|-1.9617|-4.861\nyuexiliuli14|-1.7705|-0.267|-0.7969\nyuexiliuli15|-1.7857|0.0867|-0.8558\nRonvanBree2|-1.7915|-0.9004|-0.5063\nJohannes4|-1.7948|-1.1841|-1.0573\nyuexiliuli10|-1.9883|-0.3159|-23.2813\nJiang2|-2.0099|-4.4471|-2.472\nJohannes10|-2.1137|-2.905|-2.8315\nMonique7|-2.3288|-1.327|-7.2944\nJiang1|-2.4754|-3.513|-4.6779\nMonique8|-2.9386|-1.2431|-8.4138\nyuexiliuli25|-3.0455|-0.7044|-17.2027\nThomas1|-3.2773|-1.8043|-15.2508\nAbdelghani14|-5.2269|-8.2214|-23.0564\nAbdelghani27|-5.3518|-8.1132|-22.5979\nAbdelghani34|-5.3518|-8.1132|-22.5979\nLilybelle4|-5.3518|-8.1132|-22.5979\nyuexiliuli19|-5.4367|-0.8075|-13.9148\nyuexiliuli26|-5.688|-5.9317|-22.5848\nyuexiliuli16|-5.8034|-2.4714|-22.614\nyuexiliuli9|-5.9358|-5.5684|-23.2787\nK8|-6.0147|-3.59|-56.1686\nyuexiliuli2|-6.1589|-11.1909|-22.5821\nyuexiliuli1|-6.2546|-6.5211|-23.1889\nyuexiliuli3|-7.5776|-2.7282|-22.3713\nK13|-8.2054|-27.6892|-28.0561\nyuexiliuli7|-9.1963|-12.9769|-46.3724\nyuexiliuli11|-14.9517|-5.8695|-68.1515\nyuexiliuli21|-17.9077|-24.8179|-50.9584\nyuexiliuli23|-17.9081|-24.356|-51.5917\nJiang5|-18.9558|-4.4471|-33.8965\nK2|-24.7473|-0.2668|-55.0121\nyuexiliuli18|-26.1638|-14.6006|-0.0259\nK3|-4786.0087|-37598.0004|-12626.6688\nK11|-21135.8054|-16435.3889|-1359.258",
    "2935667": "**This leaderboard is incorrect! ** Thanks Monique for noticing the bug. I've created a [new post](https://www.kaggle.com/competitions/the-future-crop-challenge/discussion/522309) instead, please refer to the leaderboard there instead."
  },
  "source": "meta"
}