Build Baseline Models Effortlessly With Sklearn

Before developing a complex ML model, it is always sensible to create a baseline first.

The baseline serves as a benchmark for the engineered model. Moreover, it ensures that the model is better than making random (or fixed) predictions. But building baselines with various strategies (random, fixed, most frequent, etc.) can be tedious.

Instead, Sklearn's 𝐃𝐮𝐦𝐦𝐲𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐞𝐫() (and 𝐃𝐮𝐦𝐦𝐲𝐑𝐞𝐠𝐫𝐞𝐬𝐬𝐨𝐫()) makes it totally effortless and straightforward. You can select the specific behavior of the baseline with the 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐲 parameter.

Read more here: Documentation.

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