11 Classifier Performance Evaluation Metrics Confusion MatrixPrecision RecallSensitivityF1

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This video lecture presents different performance evaluation metrics of a classification model (classifier) which includes: • Confusion Matrix • Accuracy • Precision • Recall • Sensitivity • Specificity • F-Score • ► More videos: https://bit.ly/2TLfkDj • ► Association Rule Discovery in Data Mining: https://bit.ly/3d48NLH • ► Click here to Subscribe: https://bit.ly/3eovHO3 • Follow me on • ► Facebook Page:   / ashahzad   • ► Facebook:   / shzy12   • ► Twitter:   / shahzadali039   • #ClassificationInDataMining • #PerformanceEvaluation • #ConfusionMatrix_Accuracy_ErrorRate_Precision_Recall_Sensitivity_Specificity_FScore

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