labels_5.py

# creating dataframe of only bin labels
primary_forecast = pd.DataFrame(labels['bin'])

# setting predicted column to 1 
primary_forecast['pred'] = 1
primary_forecast.columns = ['actual', 'pred']

# Performance Metrics
actual = primary_forecast['actual']
pred = primary_forecast['pred']
print(classification_report(y_true=actual, y_pred=pred))

print("Confusion Matrix")
print(confusion_matrix(actual, pred))

print('')
print("Accuracy")
print(accuracy_score(actual, pred))