End-to-End Iris Classification with scikit-learn: KNN to Gradient Boosting
This walk-through trains and evaluates eight popular classifiers on the classic Iris data set using only petal length and width as features. Each model is wrapped in the same three-step pattern: instantiate, fit, and score; then we visualize the learned decision boundaries.
Preparation
import pandas as pd
from sklearn.datasets import load_iris
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Posted on Sun, 01 Nov 2026 16:50:42 +0000 by Skilo