feature_selection: Apply feature selection for the input data
In UBC-MDS/laundRy: laundRy - preprocessing package for dataframes

Take input as predictons and response and return the list of features that are important

1	feature_selection(X, y, mode, n_features)

`X`	data.frame of predictors
`y`	vector of response and should be a factor in case of classification
`mode`	string regression or classification
`n_features`	int number of top important features select from all the features

vector of feature nams of top n_features

1 2	feature_selection(data.frame(X1 = c(2, 4, 3), X2 = c(8, 7, 4)), c(4, 3, 5), "regression", 2) feature_selection(data.frame(X1 = c(2, 4, 3), X2 = c(8, 7, 4)), factor(c(1, 1, 0)), "classification", 1)