Will see the Importance, why, and when we use Recall and Precision.
Recall
Recall is important when you want to minimize the number of false negatives, even if it means increasing the number of false positives. Some examples of situations …
Machine Learning – Model Evaluation
Model evaluation is the process of assessing the performance of a model on a dataset. This is typically done by splitting the original dataset into training and testing sets and using the testing set to evaluate the model’s performance.
The …