About this document

Weka Classifier Evaluation Metrics by david kwek is a document available to read on EtoBox.

The document discusses evaluation metrics for classifiers including the confusion matrix, precision, and recall. It also describes the F-measure as the harmonic average of precision and recall, with the best value being 1 for perfect precision and recall. Additionally, it covers the Matthews correlation coefficient (MCC) which ranges from +1 for a perfect prediction to -1 for total disagreement between the prediction and observation.

Author

david kwek

Language

EN