Hyperparameters tuning

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* 1. Grid search is an example of :

Exhaustive search.

Random search.

Minimized search.

None of above.

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* 2. What is the name of class from sklearn.impute that defines a KNN for filling missing values?

KNNFiller.

KnnImputer.

KNN.

KNNImputer.

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* 3. What is the name of a new feature created in the assignment?

mr_ms.

pork.

mr_ms_feature.

alive.

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* 4. What is the name of the class from sklearn.model_selection that is used for grid search along with cross validation?

SearchCV.

GridCv.

GridCV.

GridSearchCV.

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* 5. What is the best classifier due to greedy search of algorithms with respect to hyperparameters tuning?

RandomForestClassifier.

SVC.

GradientBoostingClassifier.

DecisionTreeClassifier.