Artificial data set generator for machine learning purpose
Before GUI, There are Two ways to preprocessing any data set with two jupyter notebooks, GUI to choose Cleaned CSV data_set,Show most of properties of this data_set,Choose test size & alpha size & error metrics to train Ml algorithm on this data set,show ( test & train ) Percentage as output
Extract, Transform, & Load (ETL) of UFS-WM RT Log File Test Metrics
Calculate cost based metrics about data based on the number of positive and negative data points.
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