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Machine Learning: Testing and Error Metrics
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Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
A friendly journey into the process of evaluating and improving machine learning models.
- Training, Testing
- Evaluation Metrics: Accuracy, Precision, Recall, F1 Score
- Types of Errors: Overfitting and Underfitting
- Cross Validation and K-fold Cross Validation
- Model Evaluation Graphs
- Grid Search
Теги:
machine learning artificial intelligence testing training data science models overfitting underfitting cross validation
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