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.

Preparing the simulation…