Core Concepts Supervised Learning Classification Error Metrics Accuracy Recall Precision F1 Score Regression Error Metrics Mean Absolute Error (MAE) Mean Squared Error (MSE) Root Mean Square Error (RMSE) Confusion Matrix Example: Total Population Prediction Positive Prediction Negative True Condition Condition Positive True Positive (TP) False Negative (FN) True Condition Condition Negative False Positive (FP) True Negative (TN)