I am new to kaggle, i am actively participating all kaggle competitions. In less time i learned many new things from kaggle competitions and kaggle forums.Really kaggle forum very supportive. Thanks to everyone. In this competition what should i concentrate more on feature selection or algorithms?\ncan anyone explain?
\n\nThanks in Advance.
", "messages": [ { "id": "96093", "postDate": "10/14/2015 11:05:58", "content": "I am new to kaggle, i am actively participating all kaggle competitions. In less time i learned many new things from kaggle competitions and kaggle forums.Really kaggle forum very supportive. Thanks to everyone. In this competition what should i concentrate more on feature selection or algorithms?\ncan anyone explain?
\n\nThanks in Advance.
", "rawMarkdown": "I am new to kaggle, i am actively participating all kaggle competitions. In less time i learned many new things from kaggle competitions and kaggle forums.Really kaggle forum very supportive. Thanks to everyone. In this competition what should i concentrate more on feature selection or algorithms?\r\ncan anyone explain? \r\n\r\nThanks in Advance.", "votes": null }, { "id": "96096", "postDate": "10/14/2015 11:35:10", "content": "Yes.
\n\n(As long as you manage to fit your features into your memory!)
\n\nLogistic regression is also more than enough for 0.98
", "rawMarkdown": "Yes.\r\n\r\n(As long as you manage to fit your features into your memory!)\r\n\r\nLogistic regression is also more than enough for 0.98", "votes": null }, { "id": "96098", "postDate": "10/14/2015 11:43:50", "content": "Thanks @Μαριος Μιχαηλιδης KazAnova
", "rawMarkdown": "Thanks @Μαριος Μιχαηλιδης KazAnova", "votes": null }, { "id": "96099", "postDate": "10/14/2015 11:56:44", "content": "can you tell me to apply Logistic Regression, do i need to normalize data(z-score or min-max) or directly apply logistic regression.
", "rawMarkdown": "can you tell me to apply Logistic Regression, do i need to normalize data(z-score or min-max) or directly apply logistic regression.", "votes": null }, { "id": "96100", "postDate": "10/14/2015 12:00:21", "content": "that depends on your input data. To my experience, normalization quite often improves the scores.
", "rawMarkdown": "that depends on your input data. To my experience, normalization quite often improves the scores.", "votes": null }, { "id": "96102", "postDate": "10/14/2015 12:12:42", "content": "[deleted]
", "rawMarkdown": "[deleted]", "votes": null }, { "id": "96103", "postDate": "10/14/2015 12:19:19", "content": "I cannot tell you which one works better , because it depends on your input data! I do not want to mislead you! If you do not have time for cv ...try the z-score one., but there is no guarantee that works better than the other...From my experience it seems to be working slightly better in general.
", "rawMarkdown": "I cannot tell you which one works better , because it depends on your input data! I do not want to mislead you! If you do not have time for cv ...try the z-score one., but there is no guarantee that works better than the other...From my experience it seems to be working slightly better in general.", "votes": null }, { "id": "96104", "postDate": "10/14/2015 12:22:30", "content": "ok thanks @Μαριος Μιχαηλιδης KazAnova . and 'All the best' to you and your team.
", "rawMarkdown": "ok thanks @Μαριος Μιχαηλιδης KazAnova . and 'All the best' to you and your team.", "votes": null }, { "id": "96105", "postDate": "10/14/2015 12:23:08", "content": "May the Force be with you too my friend.
", "rawMarkdown": "May the Force be with you too my friend.", "votes": null }, { "id": "96107", "postDate": "10/14/2015 12:31:58", "content": "And also with you too my friend.
", "rawMarkdown": "And also with you too my friend.", "votes": null } ], "comments": [ { "id": 96096, "author_name": "kazanova", "author_url": "", "post_date": "10/14/2015 11:35:10", "content": "Yes.
\n\n(As long as you manage to fit your features into your memory!)
\n\nLogistic regression is also more than enough for 0.98
", "votes": null, "replies": [] }, { "id": 96098, "author_name": "niranjanmudhiraj", "author_url": "", "post_date": "10/14/2015 11:43:50", "content": "Thanks @Μαριος Μιχαηλιδης KazAnova
", "votes": null, "replies": [] }, { "id": 96099, "author_name": "niranjanmudhiraj", "author_url": "", "post_date": "10/14/2015 11:56:44", "content": "can you tell me to apply Logistic Regression, do i need to normalize data(z-score or min-max) or directly apply logistic regression.
", "votes": null, "replies": [] }, { "id": 96100, "author_name": "kazanova", "author_url": "", "post_date": "10/14/2015 12:00:21", "content": "that depends on your input data. To my experience, normalization quite often improves the scores.
", "votes": null, "replies": [] }, { "id": 96102, "author_name": "niranjanmudhiraj", "author_url": "", "post_date": "10/14/2015 12:12:42", "content": "[deleted]
", "votes": null, "replies": [] }, { "id": 96103, "author_name": "kazanova", "author_url": "", "post_date": "10/14/2015 12:19:19", "content": "I cannot tell you which one works better , because it depends on your input data! I do not want to mislead you! If you do not have time for cv ...try the z-score one., but there is no guarantee that works better than the other...From my experience it seems to be working slightly better in general.
", "votes": null, "replies": [] }, { "id": 96104, "author_name": "niranjanmudhiraj", "author_url": "", "post_date": "10/14/2015 12:22:30", "content": "ok thanks @Μαριος Μιχαηλιδης KazAnova . and 'All the best' to you and your team.
", "votes": null, "replies": [] }, { "id": 96105, "author_name": "kazanova", "author_url": "", "post_date": "10/14/2015 12:23:08", "content": "May the Force be with you too my friend.
", "votes": null, "replies": [] }, { "id": 96107, "author_name": "niranjanmudhiraj", "author_url": "", "post_date": "10/14/2015 12:31:58", "content": "And also with you too my friend.
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "96093": "I am new to kaggle, i am actively participating all kaggle competitions. In less time i learned many new things from kaggle competitions and kaggle forums.Really kaggle forum very supportive. Thanks to everyone. In this competition what should i concentrate more on feature selection or algorithms?\r\ncan anyone explain? \r\n\r\nThanks in Advance.", "96096": "Yes.\r\n\r\n(As long as you manage to fit your features into your memory!)\r\n\r\nLogistic regression is also more than enough for 0.98", "96098": "Thanks @Μαριος Μιχαηλιδης KazAnova", "96099": "can you tell me to apply Logistic Regression, do i need to normalize data(z-score or min-max) or directly apply logistic regression.", "96100": "that depends on your input data. To my experience, normalization quite often improves the scores.", "96102": "[deleted]", "96103": "I cannot tell you which one works better , because it depends on your input data! I do not want to mislead you! If you do not have time for cv ...try the z-score one., but there is no guarantee that works better than the other...From my experience it seems to be working slightly better in general.", "96104": "ok thanks @Μαριος Μιχαηλιδης KazAnova . and 'All the best' to you and your team.", "96105": "May the Force be with you too my friend.", "96107": "And also with you too my friend." }, "source": "meta" }