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Artificial data set generator for machine learning purpose
Calculate cost based metrics about data based on the number of positive and negative data points.
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
📈 Analyzing, sorting and visualizing data.