JDA-Azure-Module 1-Metrics

Proportion of total correct predictions

• Accuracy

• Precision

• Recall

• F1 Score

Harmonic mean of Precision and Recall (Provides a Balance between precision and recall.)

• Accuracy

• Precision

• Recall

• F1 Score

Proportion of true positives among predicted positives

(Indicates the quality of positive predictions)

• Accuracy

• Precision

• Recall

• F1 Score

Proportion of true positives among actual positives (Measures the model's Ability to identify all positive cases.)

• Accuracy

• Precision

• Recall

• F1 Score

1. Measures the average squared difference between predicted and actual values.

• Mean Squared Error (MSE)

• Mean Absolute Error (MAE)

• R² Score (Coefficient of Determination)

• Root Mean Squared Error (RMSE)

1. Indicates the proportion of variance in the dependent variable that is predictable from the independent variables.

• Mean Squared Error (MSE)

• Mean Absolute Error (MAE)

• R² Score (Coefficient of Determination)

• Root Mean Squared Error (RMSE)

1. Square root of MSE; provides the error in the same units as the target variable.

• Mean Squared Error (MSE)

• Mean Absolute Error (MAE)

• R² Score (Coefficient of Determination)

• Root Mean Squared Error (RMSE)

1. Measures the average absolute difference between predicted and actual values.

• Mean Squared Error (MSE)

• Mean Absolute Error (MAE)

• R² Score (Coefficient of Determination)

• Root Mean Squared Error (RMSE)