Counterfactual Interpreter
Move a single simulated patient's features and watch the fixed logistic model's predicted risk and log-odds contributions update in real time.
- interpretability
- counterfactual
- local explanation
- logistic regression
Predicted risk of malignancy
42.6%
Classification
BENIGN
Δ log-odds vs. baseline
0.000
Risk gauge
42.6%
Threshold = 0.50. Baseline log-odds = -0.30, current = -0.30.
Counterfactual contribution vs. baseline
- Tumor size (std.): +0.000 log-odds
- Age (std.): +0.000 log-odds
- Solid enhancing fraction (std.): +0.000 log-odds
- Necrosis fraction (std.): +0.000 log-odds
- Margin irregularity (std.): +0.000 log-odds
- Endophytic/exophytic index (std.): +0.000 log-odds
Local, not global
This is a local explanation for a single patient under a fixed, linear-in-the-logit model. It tells you how sensitive this prediction is to each feature near this point — it says nothing about how the model behaves for a different patient, and nothing about whether the model is causally correct.