Binary Classification: Using Penalized Linear Regression to Detect Unexploded Mines

CODE

• Listing 5-4: Using ElasticNet Regression to Build a Binary (Two-Class) Classifier— rocksVMinesENetRegCV.py
  • Figure 5-7: Out-of-sample classifier misclassification performance
  • Figure 5-8: Out-of-sample classifier AUC performance
  • Figure 5-9: Receiver operating characteristic for best performing classifier