modelSelection

Yue (Jason) Zhao

modelSelection is a R pipeline designed for finding best binary classification model, predicting the testing data, and evaluating the prediction.

The pipeline contains the following files:

• model_selection.R
  • defines all functions
• model_selection_example_data.RDS
  • contains a toy dataset
• toy_eample.R
  • provides a toy example on how to use this pipeline

Inputs

• 4 data objects:
  • df.training, with rows being samples, columns being variables.
  • df.testing, with rows being samples, columns being variables.
  • y.train, a binary vector
  • y.test, a binary vector