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Primary LanguageJavaScript

Machine Learning Models:

Spark With LinearSVC and RandomForest

This project is essentially contained within the ML Class, where different methods are used for instantiating, fitting, and plotting the model along with their performance metrics.

General Use

The main file contains a few lines of code that create an ML Class depending on the model type: LinearSVC or RandomForest.

A class is created like:

  • support_svc = ML('file/path/project3.csv')
  • support_svc.feature_selection()
  • ...

Note

Dealing with Support Vector Machines doesn't usually allow for plotting ROC curves since they don't often predict probabilities(I think )