Computer Science - eGuru

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In my previous post I have explained about how to generate a single ROC Curve for single classifier, but in the practical cases you will need to generate Multiple ROC Curve for multiple numbers of classifiers. This is very important to evaluate the performance...

Receiver Operating Characteristic (ROC) represents the different trade-off between false positives and false negatives. It is created by plotting the fraction of true positives out of the total actual positives (True Positive Rate) vs. the fraction of...

This tutorial gives in depth idea of how the classification in data mining is done using the weka tool.
Click the explorer tab in the weka (Figure 1)
Figure 1