Machine Learning, Data Science, Python, Statistics, Evaluation Metric.
Positives (TP): Indicates the model’s ability to correctly identify positive instances. Higher TP is generally desirable. - True Negatives (TN): Reflects the model’s proficiency in correctly identifying negative instances. Higher TN is generally desirable. - False Positives (FP): Highlights cases