Update README.md

Author: Jainish021

README.md

@@ -14,9 +14,21 @@ All the files are well commented to explain the working of code. Following is th
 
 => Multinomial_naive_bayes.py
 	This file has the code for multinomial naive bayes. Run this file to see the accuracy, precision, recall and f1 score values of the trained model on the test data.
+	
+	Results:
+	Accuracy is 0.8781
+	Precision is 0.8843
+	Recall is 0.8851
+	F1 score is 0.8781
 
 => Bernoulli_naive_bayes.py
 	This file has the code for discrete (bernoulli) naive bayes. Run this file to see the accuracy, precision, recall and f1 score values of the trained model on the test data.
 
 => MCAP_logistic_regression.py
 	This file has the code for MCAP Logistic Regression algorithm with L2 regularization. Run this file to see the accuracy, precision, recall and f1 score values of the trained model on the test data.
+	
+	Results:
+	Accuracy - 0.9627
+	Precision - 0.9615
+	Recall - 0.9644
+	F1 score - 0.9625