Do you know Machine Learning?

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Across
  1. 4. - Simple neural net
  2. 5. - Grouping similar data
  3. 7. - Unusual data detection
  4. 10. - Model bring too simple
  5. 13. - Input variable
  6. 14. - Model overtraining
  7. 15. - Combine model predictions
  8. 16. - Model error spread
  9. 17. - Polynomial model
  10. 18. - Random data variation
Down
  1. 1. - True positives ratio
  2. 2. - Tree-based model
  3. 3. - Unusual data point
  4. 6. - Slope of a function
  5. 8. - Basic ML unit
  6. 9. - Predicting values
  7. 11. - Input information
  8. 12. - Skewed data distribution