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A confusion matrix is a special contingency table used to evaluate the predictive accuracy of a classifier. Predicted classes are listed in rows and actual classes in columns, with counts of respective cases in each cell.

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Precision Accuracy and recall rate of a confusion rate of confusion matrix

Accuracy: The sum of the numbers on the diagonal divided by the sum of all numbers on the grid Recall and Precision depend on if you want to take the micro or macro approach. See this blog post for mo …
Oliver Foster's user avatar
2 votes

Confusion Matrix vs AUC Confusion with Random Forest

From your confusion matrix it actually looks like your class imbalance is over-favoring the positive class (90.04% to 9.96%). Because you have such an extreme class imbalance in your data your random …
Oliver Foster's user avatar
2 votes
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Same confusion matrix when changing DecisionTreeClassifier parameters

I ran your script and this is what was returned for all 3 confusion matrices: [[4 0 0] [0 3 1] [0 0 2]] This confusion matrix indicates to me that your model is working wonderfully on the testing d …
Oliver Foster's user avatar