undersampling

How would you address an imbalanced classification problem?

If the overall distribution of the outcome is heavily tilted towards one class compared to the other, the classification problem is considered to be imbalanced.

Categories

Data Preparation (43)
- Dimensionality Reduction (9)
- General (5)
- Missing data (7)
- Standardization (6)
- Textual Data (16)
Deep Learning (23)
Machine Learning 101 (30)
Regularization (6)
Statistics 101 (38)
Supervised Learning (108)
- Classification (36)
  - Discriminant Analysis (5)
  - Naive Bayes (4)
  - Support Vector Machine (10)
- Classification & Regression Trees (CART) (23)
- Regression (46)
  - Generalized Linear Model (GLM) (9)
  - Linear Regression (27)
  - Logistic Regression (10)
Unsupervised Learning (46)
- Clustering (17)
  - Gaussian Mixture Models (5)
  - Hierarchical Clustering (4)
  - K-Means Clustering (10)