Discriminative Models

Discriminative Models classify data by discovering decision boundary for the dataset classes using Conditional Probability; where input features are classified based on which side of the boundary they are found in. They are often used for Supervised Learning tasks.

Notes:

• Discriminative Models can be used to predict the label for new data points.

Algorithms:

• Support Vector Machine (SVM)
• Logistic Regression
• Decision Trees
• Random Forest
• …

Related:

• Generative vs Discriminative Models