logistic-regression-pima-s-diabetes-data.r

{"cells":[{"source":"<a href=\"https://www.kaggle.com/code/stephanelassalvy/logistic-regression-pima-s-diabetes-data?scriptVersionId=119236747\" target=\"_blank\"><img align=\"left\" alt=\"Kaggle\" title=\"Open in Kaggle\" src=\"https://kaggle.com/static/images/open-in-kaggle.svg\"></a>","metadata":{},"cell_type":"markdown","outputs":[],"execution_count":0},{"cell_type":"code","execution_count":1,"id":"8ab2f5d8","metadata":{"_execution_state":"idle","_uuid":"051d70d956493feee0c6d64651c6a088724dca2a","execution":{"iopub.execute_input":"2023-02-15T10:04:16.328412Z","iopub.status.busy":"2023-02-15T10:04:16.325356Z","iopub.status.idle":"2023-02-15T10:04:16.457753Z","shell.execute_reply":"2023-02-15T10:04:16.455772Z"},"papermill":{"duration":0.139623,"end_time":"2023-02-15T10:04:16.460435","exception":false,"start_time":"2023-02-15T10:04:16.320812","status":"completed"},"tags":[]},"outputs":[],"source":["# logisticRegressionAddons_20230215.R : addons to assess a logistic regression fit\n","# Logistic_Regression_Analysis_20230215.R : example using a dataset from Kaggle\n","\n","#    The 2 R scripts are under GPL3 Licence.\n","\n","# The dataset is available on Kaggle under CC0 licence :\n","# License : CC0: Public Domain. Smith, J.W., Everhart, J.E., Dickson, W.C., Knowler, W.C., & Johannes, R.S. (1988). Using the ADAP learning algorithm to forecast the onset of diabetes mellitus. In Proceedings of the Symposium on Computer Applications and Medical Care (pp. 261--265). IEEE Computer Society Press, and it is published t to reuse in the google research dataset.\n","\n","# Link/URL for getting the data :\n","# https://www.kaggle.com/datasets/whenamancodes/predict-diabities\n","\n","# Link/URL for the R and Rnw scripts :\n","# https://github.com/stephaneLabs/LogisticRegression"]}],"metadata":{"kernelspec":{"display_name":"R","language":"R","name":"ir"},"language_info":{"codemirror_mode":"r","file_extension":".r","mimetype":"text/x-r-source","name":"R","pygments_lexer":"r","version":"4.0.5"},"papermill":{"default_parameters":{},"duration":4.304712,"end_time":"2023-02-15T10:04:16.586737","environment_variables":{},"exception":null,"input_path":"__notebook__.ipynb","output_path":"__notebook__.ipynb","parameters":{},"start_time":"2023-02-15T10:04:12.282025","version":"2.4.0"}},"nbformat":4,"nbformat_minor":5}