Understanding Diagnostic Metrics for Classifiers: Accuracy vs Cohen’s Kappa vs ROC vs Precision and Recall vs F1

In machine learning and educational research, choosing the right metric to evaluate a classifier’s performance is critical. While many people are familiar with accuracy, there are other diagnostic metrics that provide deeper insights into how well a model is performing. In this blog, we’ll dive into two metrics: Accuracy and Cohen’s Kappa, explaining why accuracy […]

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