Evaluation metrics for Classification I How to evaluate a Classifier ? I AI JRVAE
In this video, you'll learn how to properly evaluate a classification model using a variety of Evaluation metrics such as Jaccard Index, F1- Score, Confusion Matrix, Log loss etc. as well as how to adjust the performance of a classifier to best match your business objectives.
This video is a part of Introduction of Classification series . Want to see full playlist ! visit this link : • Classification in Machine learning
These are the topics discussed :
1. what are Evaluation Metrics ?
2. Jaccard Index
3. Confusion matrix
4. F1-Score
5. Log loss
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