Which of the following selects the best K high-score features.

Related MCQs

• Which of the following selects the best K high-score features.
• Which of the following selects the best K high-score features.
• Which of the following selects only a subset of features belonging to a certain percentile
• Which of the following parameters can be tuned for finding good ensemble model in bagging based algorithms? 1. Max number of samples 2. Max features 3. Bootstrapping of samples 4. Bootstrapping of features
• Which of the following parameters can be tuned for finding good ensemble model in bagging based algorithms? 1. Max number of samples 2. Max features 3. Bootstrapping of samples 4. Bootstrapping of features
•            dataset with many features contains information proportional to the independence of all features and their variance.
• ______dataset with many features contains information proportional to the independence of all features and their variance.
• There are also many univariate methods that can be used in order to select the best features according to specific criteria based on              .
• There are also many univariate methods that can be used in order to select the best features according to specific criteria based on________.
• Suppose, you have 2000 different models with their predictions and want to ensemble predictions of best x models. Now, which of the following can be a possible method to select the best x models for an ensemble?