3.1. Cross-validation: evaluating estimator performance — scikit

The State of Art in Machine Learning Applications in Civil Engineering

Model evaluation — Applied Machine Learning in Python

3.3. Metrics and scoring: quantifying the quality of predictions — scikit-learn 1.3.2 documentation

Cross-Validation. Validating your Machine Learning Models…, by Kurtis Pykes

3.3. Metrics and scoring: quantifying the quality of predictions — scikit-learn 1.3.2 documentation

3.2. Tuning the hyper-parameters of an estimator — scikit-learn 1.3.2 documentation

299 - Evaluating sklearn model using KFold cross validation​ in python

Scikit-Learn Pipeline & RandomizedSearchCV, ML Model Selection, Churn Modeling Dataset, by Georgios Tourloukis

3.3. Metrics and scoring: quantifying the quality of predictions — scikit-learn 1.3.2 documentation

Electronics, Free Full-Text

3.4. scikit-learn: machine learning in Python — Scientific Python Lectures

How to do Cross-Validation, KFold and Grid Search in Python, by Gustavo Santos, gustavorsantos