Save test set to reuse in other experiments

We want to train a model with Apache data and test against the same test set from our industry dataset.
Reference:

predictive-method-logging/log-prediction/logpred_method/__init__.py

Lines 107 to 110 in e0c5ae3

    
           # Train(80%) Test (20%) split 
        
           X_train, X_test, y_train, y_test = train_test_split( 
        
               X, y, test_size=0.2, random_state=RANDOM_SEED, stratify=y, shuffle=True 
        
           )

Closing as this is not relevant anymore. Current version of evaluation scripts allow to reuse the test set across different experiments.

	# Train(80%) Test (20%) split
	X_train, X_test, y_train, y_test = train_test_split(
	X, y, test_size=0.2, random_state=RANDOM_SEED, stratify=y, shuffle=True
	)