There are also many univariate methods that can be used in order to select the best features according to specific criteria based on              .

Related MCQs

• There are also many univariate methods that can be used in order to select the best features according to specific criteria based on________.
• Select the correct answers for following statements. 1. Filter methods are much faster compared to wrapper methods. 2. Wrapper methods use statistical methods for evaluation of a subset of features while Filter methods use cross validation.
• Any linear combination of the components of a multivariate Gaussian is a univariate Gaussian.
• Any linear combination of the components of a multivariate Gaussian is a univariate Gaussian.
• 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.
• 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?
• Which of the following methods/methods do we use to find the best fit line for data in Linear Regression?