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Across
  1. 4. Search techniques to find value of k
  2. 7. Example of structured data
  3. 10. Machine learning is the subset of
  4. 11. Negative value indicates poor performance
  5. 14. Cross validation is similar to Random Subsampling
  6. 17. model learns by using trial and error
  7. 18. It breaks down the predictions into four categories
  8. 20. is faster algorithm optimization algorithm
Down
  1. 1. is used by ID3 algorithm
  2. 2. Is an optimization technique
  3. 3. is the learning of decision trees from the labelled training data
  4. 5. Unsupervised learning
  5. 6. in decision trees used to reduce overfitting
  6. 8. One of the type of logistic regression
  7. 9. ability of a model to perform well on unseen data
  8. 12. It occurs when bias is high
  9. 13. the quality of the model’s positive predictions.
  10. 15. node represents the entire dataset in a Decision Tree
  11. 16. Is a non parametric algorithm
  12. 19. methods combine predictions from multiple models