The idea of building machine learning models or artificial intelligence or deep learning models works on a constructive feedback principle. You build a model, get feedback from metrics, make improvements, and continue until you achieve a desirable classification accuracy. Evaluation metrics explain the performance of the model. An important aspect of evaluation metrics is their … Continue reading 12 Important Model Evaluation Metrics for Machine Learning Everyone Should Know (Updated 2024)