Machine Learning
26 views
Loss Function
Quick Definition
Math function measuring prediction vs actual value difference
Full Definition
A mathematical function measuring the difference between model predictions and actual target values.
Examples
cross-entropy, MSE, MAE, hinge loss, focal loss
Related Terms
gradient-descent
optimization
More Machine Learning Terms
Cross-Validation
Evaluating model performance with multiple data splits
Gradient Boosting
Sequential ensemble method correcting previous model errors
Margin
Distance between decision boundary and nearest data points
Precision Recall
Metrics measuring positive prediction quality and coverage
Polynomial Regression
Extending linear models with polynomial features for nonlinear data
CatBoost
Gradient boosting library with native categorical feature support