Classification Accuracy Calculator Enter the components of the confusion matrix: True Positives (TP): Correctly predicted positive True Negatives (TN): Correctly predicted negative False Positives (FP): Incorrectly predicted positive (Type I Error) False Negatives (FN): Incorrectly predicted negative (Type II Error) Calculate Metrics Calculated Metrics Accuracy: Precision: Recall (Sensitivity): Specificity: F1-Score: False Positive Rate (FPR): False Negative Rate (FNR): Total Population: Download Results (PDF)
