Q. Model based prediction considers relatively easy version for covariance matrix.

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Q. Which of the following function provides unsupervised prediction?

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Q. Point out the correct statement.

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Q. Which of the following method can be used to combine different classifiers?

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Q. Which of the following methods are present in caret for regularized regression?

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Q. Point out the wrong statement.

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Q. Which of the following is correct about regularized regression?

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Q. PCA is most useful for non linear type models.

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Q. Which of the following is one of the largest boost subclass in boosting?

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Q. Which of the following is statistical boosting based on additive logistic regression?

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Q. The principal components are equal to left singular values if you first scale the variables.

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Q. Which of the following library is used for boosting generalized additive models?

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Q. Point out the correct statement.

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Q. Which of the following is correct with respect to random forest?

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Q. Which of the following method options is provided by train function for bagging?

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Q. Point out the wrong statement.

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Q. Predicting with trees evaluate _____________ within each group of data.

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Q. For k cross-validation, smaller k value implies less variance.

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Q. Which of the following can be used to create the most common graph types?

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Q. Which of the following method is used for trainControl resampling?

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