Machine Learning (ML)
One model scored a perfect 1.0000 on the rows it was trained on and 0.3474 on new ones. Another scored 0.9842 and 0.9822.
One model scored a perfect 1.0000 on the rows it was trained on and 0.3474 on new ones. Another scored 0.9842 and 0.9822.
Defining churn as leaving within 7 days versus 365 moved the positive rate from 0.2318 to 0.9879 and AUROC from 0.7452 to 0.9619 on identical customers.
Training on the number and cutting afterward matched the classifier’s AUROC of 0.9967 — and also answered the numeric question at R-squared 0.9900.
A beginner-friendly explanation of neural-network structure, notation, hidden layers, and forward propagation with a verified NumPy example.
A function fitted to a sample fits that sample better than it fits anything else. Everything difficult follows from that.