Population Parameters
Population Visualization
Each dot represents a person. Colors show true condition (outer ring) vs predicted condition (center).
Prediction Statistics
True Positives
0
Correctly identified as positive
False Positives
0
Incorrectly flagged as positive
True Negatives
0
Correctly identified as negative
False Negatives
0
Missed as negative
Sensitivity (Recall)
0%
TP / (TP + FN)
Specificity
0%
TN / (TN + FP)
Precision
0%
TP / (TP + FP)
Accuracy
0%
(TP + TN) / Total
Confusion Matrix
| Predicted Positive | Predicted Negative | |
|---|---|---|
| Actually Positive | 0 | 0 |
| Actually Negative | 0 | 0 |
💡 Key Insight
Adjust the sliders to see how a high-accuracy model can produce mostly false positives when the condition is rare. This is why medical tests need to be interpreted carefully!