Exercise

Combining 3 feature selectors

We'll combine the votes of the 3 models you built in the previous exercises, to decide which features are important into a meta mask. We'll then use this mask to reduce dimensionality and see how a simple linear regressor performs on the reduced dataset.

The per model votes have been pre-loaded as lcv_mask, rf_mask, and gb_mask and the feature and target datasets as X and y.

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Sum the votes of the three models using np.sum().