Machine Learning
29 views
Imbalanced Learning
Quick Definition
Handling datasets with unequal class distributions
Full Definition
Techniques for handling datasets where classes are not equally represented.
Examples
SMOTE, class weighting, undersampling, ensemble methods
Related Terms
classification
resampling
More Machine Learning Terms
Overfitting
When a model learns training data noise and fails on new data
Loss Function
Math function measuring prediction vs actual value difference
K-Means
Partitioning data into k clusters by updating centroids
Multi-Task Learning
Training one model for multiple related tasks simultaneously
Self-Supervised Learning
Generating supervisory signals from unlabeled data for training
Unsupervised Learning
Discovering hidden patterns in unlabeled data