Day63 ML Review - Ensemble Method (2)
Code Structure of Combining Classifiers via Majority Vote
Code Structure of Combining Classifiers via Majority Vote
Key Concepts and Mathematics Explanation
Use Other Metrics, Assign Different Class Weights, or Upsample the Minority Class
ROC area Under The Curve (ROC AUC)
Confusion Matrix and F1 score
Grid Search for Fine-Tuning Machine Learning Models
Bias & Variance, and Learning & Validation Curves
Model Selection and K-Fold Cross Validation
Key Concepts and Example Code with Scikit-learn
Applying Kernal Principal Component Analysis(KPCA) to New Data Points