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.
Build Baseline Models Effortlessly With Sklearn
Build Baseline Models Effortlessly With…
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.