Confusion Matrix: Difference between revisions
Thakshashila (talk | contribs) Created page with "= Confusion Matrix = '''Confusion Matrix''' is a performance measurement tool used in machine learning, particularly for classification problems. It provides a summary of prediction results on a classification problem by comparing the actual labels with those predicted by the model. == What is a Confusion Matrix? == A confusion matrix is a table that describes the performance of a classification model. It shows how many instances were correctly or incorrectly predicte..." |
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confusion matrix, machine learning metrics, classification model evaluation, precision and recall, accuracy, true positive, false negative, F1-score | confusion matrix, machine learning metrics, classification model evaluation, precision and recall, accuracy, true positive, false negative, F1-score | ||
[[Category:Artificial Intelligence]] | |||
== Related Pages == | == Related Pages == | ||
* [[Precision and Recall]] | * [[Precision]] and [[Recall]] | ||
* [[F1 Score]] | * [[F1 Score]] | ||
* [[Classification]] | * [[Classification]] | ||
* [[Model Evaluation Metrics]] | * [[Model Evaluation Metrics]] | ||