Joelfranklin96 · December 13, 2019 20:02
diff --git a/Display_cv_score.py b/Display_cv_score.py
 # Creating a list of model names

 model_names = ['K Nearest Neighbors','Neural Net','Decision Tree','Random Forest','AdaBoost','Naive Bayes','SVM Linear','SVM rbf','SVM Sigmoid']

 # Cross validation scores of the models

 for i in range(len(models)):
  print('The cross validation score of {} is {}'.format(model_names[i],cv_result[i]))
	# Creating a list of model names

	model_names = ['K Nearest Neighbors','Neural Net','Decision Tree','Random Forest','AdaBoost','Naive Bayes','SVM Linear','SVM rbf','SVM Sigmoid']

	# Cross validation scores of the models

	for i in range(len(models)):
	print('The cross validation score of {} is {}'.format(model_names[i],cv_result[i]))