ML-scikit-learn

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Across
  1. 4. The method used to train a model on the training dataset.
  2. 8. A class in Scikit-Learn for building decision tree classifiers.
  3. 9. Root Mean Squared Error, a metric to evaluate regression models.
  4. 10. Compute confusion matrix to evaluate the accuracy of a classification.
  5. 11. A class in Scikit-Learn for implementing Support Vector Classification.
  6. 12. The method used to make predictions on new data using a trained model.
Down
  1. 1. A preprocessing class in Scikit-Learn to standardize features by removing the mean and scaling to unit variance.
  2. 2. A class in Scikit-Learn for performing logistic regression.
  3. 3. A class in Scikit-Learn for implementing K-Nearest Neighbors classification.
  4. 5. A function to split the dataset into training and testing sets.
  5. 6. Compute the precision of a logistic regression model.
  6. 7. A class in Scikit-Learn for performing linear regression.