How to interpret confusion matric for Extreme learning machine ? why it has decimal points in it?
The confusion matrix shows the percentage of observations that fall into a combination of the actual and the predicted value. These percentage add up to 100% row-wise (0.3419 + 0.6581 = 1). This means that of all observations that had the label 'Phishing', 34.19% were correctly classified as 'Phishing' and 65.81% were incorrectly classified as 'Legitimate'.