{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2022-08-05T03:50:03.945291Z","iopub.execute_input":"2022-08-05T03:50:03.945632Z","iopub.status.idle":"2022-08-05T03:50:03.957088Z","shell.execute_reply.started":"2022-08-05T03:50:03.945587Z","shell.execute_reply":"2022-08-05T03:50:03.955968Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission_1 = pd.read_csv('../input/tps-8-submission/submission (1).csv')\nsubmission_2 = pd.read_csv('../input/tps-8-submission/submission (2).csv')\nsubmission_3 = pd.read_csv('../input/tps-8-submission/submission.csv')\n\nsubmission_4 = pd.read_csv('../input/tps-8-submission/submission (3).csv')\nsubmission_5 = pd.read_csv('../input/tps-8-submission/submission (4).csv')\n\n","metadata":{"execution":{"iopub.status.busy":"2022-08-05T03:50:03.961249Z","iopub.execute_input":"2022-08-05T03:50:03.961571Z","iopub.status.idle":"2022-08-05T03:50:04.007469Z","shell.execute_reply.started":"2022-08-05T03:50:03.961546Z","shell.execute_reply":"2022-08-05T03:50:04.006289Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"y_test = (submission_1.failure + submission_2.failure + submission_3.failure + submission_4.failure + submission_5.failure) / 5","metadata":{"execution":{"iopub.status.busy":"2022-08-05T03:50:04.009311Z","iopub.execute_input":"2022-08-05T03:50:04.009582Z","iopub.status.idle":"2022-08-05T03:50:04.016170Z","shell.execute_reply.started":"2022-08-05T03:50:04.009557Z","shell.execute_reply":"2022-08-05T03:50:04.014851Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"y_test","metadata":{"execution":{"iopub.status.busy":"2022-08-05T03:50:04.017452Z","iopub.execute_input":"2022-08-05T03:50:04.018109Z","iopub.status.idle":"2022-08-05T03:50:04.030646Z","shell.execute_reply.started":"2022-08-05T03:50:04.018082Z","shell.execute_reply":"2022-08-05T03:50:04.029677Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission = pd.read_csv('../input/tabular-playground-series-aug-2022/sample_submission.csv')\nsubmission.failure = y_test\nsubmission.to_csv('submission.csv', index=False)","metadata":{"execution":{"iopub.status.busy":"2022-08-05T03:50:04.065357Z","iopub.execute_input":"2022-08-05T03:50:04.066489Z","iopub.status.idle":"2022-08-05T03:50:04.122481Z","shell.execute_reply.started":"2022-08-05T03:50:04.066430Z","shell.execute_reply":"2022-08-05T03:50:04.121558Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission","metadata":{"execution":{"iopub.status.busy":"2022-08-05T03:50:04.124081Z","iopub.execute_input":"2022-08-05T03:50:04.124353Z","iopub.status.idle":"2022-08-05T03:50:04.136121Z","shell.execute_reply.started":"2022-08-05T03:50:04.124330Z","shell.execute_reply":"2022-08-05T03:50:04.134926Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}