In many cases you would like to print the confusion matrix in a better format and look and feel than what is provided by scikit learn by default. The default look when printing confusion matrix using scikit learn However in many cases you may like to print the confusion matrix in a format like below…
Precision, recall and F1 Score are parameters to measure the performance of a classification model. For example if we want to implement Logistic Regression model on an imbalanced dataset we would like to calculate precision, recall and F1 score as accuracy may not be a good measure of model performance in this case. Precision: Precision…
Not only human beings but also the machine learning models may get confused !! After all Artificial Intelligence mimics a human brain, isn’t it?(pun intended). Imagine yourself as a machine learning engineer and suppose you trained a machine learning classification model successfully today. After the model is trained you checked the accuracy which is 93.0%. Wow…
