🎮 Simulator EP01_02: Predictive Performance — ML Metrics
Confusion Matrix & Metrics
Select a predefined scenario or adjust the sliders to observe the real-time impact on the confusion matrix and evaluation metrics.
INPUTS (MATRIX PARAMETERS)
40
10
15
35
DISCRETE CONFUSION MATRIX
Pred +
Pred −
Actual +
TP
40
FN
10
Actual −
FP
15
TN
35
REAL-TIME CALCULATED METRICS
Accuracy
0.75
(TP + TN) / Total
Precision
0.73
TP / (TP + FP)
Sensitivity (Recall)
0.80
TP / (TP + FN)
F1-Score (Harmonic Mean)
0.76
2 · (P · R) / (P + R)
Total Samples:
100
Description: Figure 1.12: EP01_02 Simulator: Predictive Performance — ML Metrics