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Can I read Weka Classifier Evaluation Metrics on EtoBox?
Weka Classifier Evaluation Metrics by david kwek is a document available to read on EtoBox.
What is Weka Classifier Evaluation Metrics about?
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