Top Machine Learning Metrics for Model Evaluation (Scikit-Learn Guide)

Master Machine Learning Model Evaluation: Learn key metrics like accuracy, precision, recall, MAE, RMSE, and R² to measure performance and improve predictions.

It took me a while to fully understand this, and to be honest, I still get confused sometimes. Building a machine learning model is exciting, but when it comes to evaluating how well the model perfor…