{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":67356,"databundleVersionId":8006601,"sourceType":"competition"},{"sourceId":8290744,"sourceType":"datasetVersion","datasetId":4924994}],"dockerImageVersionId":30698,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# I hope this code could be helpful, thank u for your attention and time.\n\n### This is a simply ensemble demonstration\n\n#### *Using data*\n\n*0.585  https://www.kaggle.com/code/ahmedelfazouan/belka-1dcnn-starter-with-all-data\n\n*0.553  https://www.kaggle.com/code/mehrankazeminia/5-belka-submission-autogluon-frag1-2-3\n\n*0.546  https://www.kaggle.com/code/ricopue/leashbio-xgb-ecfp-10m-sample-rows","metadata":{}},{"cell_type":"code","source":"import pandas as pd\n\nsub1 = pd.read_csv('/kaggle/input/belka-blend/submission_0585.csv')\nsub2 = pd.read_csv('/kaggle/input/belka-blend/submission_0553.csv')\nsub3 = pd.read_csv('/kaggle/input/belka-blend/submission_0546.csv')\nsample_sub = pd.read_csv('/kaggle/input/leash-BELKA/sample_submission.csv')\n\n\n\n# To submit\nsubmission_blend = (sub1['binds'] * 0.71 + sub2['binds'] * 0.03 + sub3['binds']  * 0.26)\n\nsample_sub['binds']=submission_blend\nsample_sub.to_csv('submission.csv', index=False)\nsample_sub","metadata":{"execution":{"iopub.status.busy":"2024-05-10T05:47:10.505075Z","iopub.execute_input":"2024-05-10T05:47:10.505473Z","iopub.status.idle":"2024-05-10T05:47:19.063895Z","shell.execute_reply.started":"2024-05-10T05:47:10.505440Z","shell.execute_reply":"2024-05-10T05:47:19.062745Z"},"trusted":true},"execution_count":null,"outputs":[]}]}