curl --request POST \ --url https://api.iotools.cloud/v1/tool/confusion-matrix-calculator \ --header 'Authorization: Bearer <token>' \ --header 'Content-Type: application/json' \ --data ' { "truePositive": "50", "falseNegative": "10", "falsePositive": "5", "trueNegative": "100" } '

{ "tool": "confusion-matrix-calculator", "tool_version": "1.0.2", "outputs": { "summary": [ { "metric": "Strength", "value": "Good" }, { "metric": "Score", "value": "87/100" }, { "metric": "Accuracy", "value": "0.909" }, { "metric": "Total samples", "value": "165" } ], "matrix": [ { "actual": "Actual Positive", "predicted-positive": "50", "predicted-negative": "10" }, { "actual": "Actual Negative", "predicted-positive": "5", "predicted-negative": "100" } ], "metrics": [ { "metric": "Accuracy", "formula": "(TP+TN) / (TP+TN+FP+FN)", "value": "0.909", "rating": "Excellent" }, { "metric": "Precision (PPV)", "formula": "TP / (TP+FP)", "value": "0.909", "rating": "Excellent" }, { "metric": "Recall (Sensitivity, TPR)", "formula": "TP / (TP+FN)", "value": "0.833", "rating": "Good" }, { "metric": "Specificity (TNR)", "formula": "TN / (TN+FP)", "value": "0.952", "rating": "Excellent" }, { "metric": "F1 Score", "formula": "2 x (Precision x Recall) / (Precision+Recall)", "value": "0.870", "rating": "Good" }, { "metric": "Matthews Correlation Coefficient (MCC)", "formula": "(TPxTN - FPxFN) / sqrt((TP+FP)(TP+FN)(TN+FP)(TN+FN))", "value": "0.802", "rating": "Excellent" }, { "metric": "Negative Predictive Value (NPV)", "formula": "TN / (TN+FN)", "value": "0.909", "rating": "Excellent" }, { "metric": "False Positive Rate (FPR)", "formula": "FP / (FP+TN)", "value": "0.048", "rating": "Excellent" }, { "metric": "False Negative Rate (FNR)", "formula": "FN / (FN+TP)", "value": "0.167", "rating": "Good" }, { "metric": "Balanced Accuracy (AUC estimate)", "formula": "(Recall + Specificity) / 2", "value": "0.893", "rating": "Good" } ] }, "credits_used": 5, "credits_remaining": null }