## Intro ## Receiver Operating Characteristic (ROC) plots are useful for visualizing a predictive model’s effectiveness. This tutorial explains how to code ROC plots in Python from scratch. ## Data Preparation & Motivation ## We’re going to use the breast cancer dataset from sklearn’s sample datasets. It is an accessible, binary classification dataset (malignant vs. benign) with 30 positive, real-valued features. To train a logistic regression model, the dataset is split into train-test pools, then the model is fit to the training data. from sklearn.datasets import load_breast_cancer from sklearn.linear_model import * from sklearn.model_selection import train_test_split # Load datasetd dataset = …

Member Avatar
+3 forum 0

The End.