7.2 Evaluation and ML Algorithms Continutaion
Week 7
Objectives
- Terminology:
- Linear v/s Non-Linear
- Parametric v/s Non-paramteric
- Probabilistic v/s Non-probabilistic
- Generative v/s Discriminative
- Evaluating models
- Accuracy
- Confusion matrix
- Precision
- Recall
- F1 score
- Precision-Recall or PR curve
- ROC (Receiver Operating Characteristics) curve
- Decision Tree Classifier
- Knn ( not to be confused with Kmeans from last lecture)
- Logistic regression