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From @joelostblom comment on Ch6: we talk about "majority classifier" but we never show how to create one. This is really easy to setup in sklearn and it is a useful strategy for students to learn so that they can compare against a baseline. I suggest we show them how to setup a dummy classifier (and a dummy regressor in later chapters). We might also consider renaming "majority classifier" to "dummy classifier" in the text so not be ambiguous
The text was updated successfully, but these errors were encountered:
From @joelostblom comment on Ch6: we talk about "majority classifier" but we never show how to create one. This is really easy to setup in sklearn and it is a useful strategy for students to learn so that they can compare against a baseline. I suggest we show them how to setup a dummy classifier (and a dummy regressor in later chapters). We might also consider renaming "majority classifier" to "dummy classifier" in the text so not be ambiguous
The text was updated successfully, but these errors were encountered: