Open dannytha opened 1 year ago
Example metrics: accuracy, precision, recall,F1 score,ROC curve, and confusion matrix
accuracy
precision
recall
F1 score
ROC curve
confusion matrix
• Compare and contrast the results of each technique and provide insights on which method works best for the given classification problem
Gaussian Naive Bayes: a58e9ddf0a62baf677b11b62682f6841c4f1533b K-Nearest Neighbors: 6279429799b9f241c2d8d36423b88651c33f83de
Example metrics:
accuracy
,precision
,recall
,F1 score
,ROC curve
, andconfusion matrix
• Compare and contrast the results of each technique and provide insights on which method works best for the given classification problem