Model Evaluation Metrics: Accuracy, Precision, Recall, and F1 Score
As machine learning applications become increasingly prevalent, evaluating the performance of a model has become crucial. While training a model, it’s essential to understand how well the model will perform on new data. Therefore, evaluation metrics have become a fundamental aspect of the machine learning process. There are various metrics used for model evaluation, each…
Read More “Model Evaluation Metrics: Accuracy, Precision, Recall, and F1 Score” »