AI 900 - ML Model Evaluation

ML Model Evaluation - 11 Cards
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Model Evaluation
Checking if the model works
Regression Models Evaluation
Mean Absolute Error (MAE), Mean Squared Error (MSE)...
Mean Absolute Error (MAE)
How close is a prediction to actual value?
Mean Squared Error (MSE)
Average of squares of the distance between actual and predicted
Classification Models Evaluation
Accuracy, Precision, Recall...
Predicted label
What's predicated?
True label
What's expected?
Confusion matrix
Matrix matching predicted label vs true label
Accuracy
Proportion of accurate results to total cases
Precision
(True Positive)/ (True Positive + False Positive)
Recall
(True Positive)/ (True Positive + False Negative)