Data Science & Machine Learning Snippets - Useful snippets for simple things (All files start with "ds-" )

ds-another.py

# Second stuff comes here

ds-evaluations.py

import numpy as np 

# Calculate TP, TN, FP, FN
test_labels = np.asarray([])   # Array contains true labels from the test dataset
test_preds = np.asarray([])    # Array contains predicted labels generated by the model

tp = np.logical_and(test_labels, test_preds).sum()
fp = np.logical_and(1-test_labels, test_preds).sum()
fn = np.logical_and(test_labels, 1-test_preds).sum()
tn = np.logical_and(1-test_labels, 1-test_preds).sum()

precision = tp / (fp + tp)

recall = tp / (fn + tp)

accuracy = (tp + tn) / (fp + fn + tp + tn)