Question: Since the entropy for the binary split of an attribute is worse than the entropy for the multi-way, it is always preferable to use multi-way

 Since the entropy for the binary split of an attribute is

worse than the entropy for the multi-way, it is always preferable to

use multi-way split whenever possible. True O false Nominal attributes (with many

Since the entropy for the binary split of an attribute is worse than the entropy for the multi-way, it is always preferable to use multi-way split whenever possible. True O false Nominal attributes (with many possible values) a are more effective than ordinal attributes for rule-based classification. True False Converting categorical variables that are ordinal to asymmetric binary variables does not lose any information. O True O False

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