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
Add a description, image, and links to the data-metrics topic page so that developers can more easily learn about it.
To associate your repository with the data-metrics topic, visit your repo's landing page and select "manage topics."