Logistic Regression Simulator

Interactive demonstration of binary classification. Adjust parameters manually or watch Gradient Descent slowly find the best fit.

Click anywhere on the plot area to test a specific x-value and see its probability.

Model Parameters

1.00

Controls steepness & direction.

-5.00

Shifts curve left or right.

Live Metrics

Total Log-Loss 0.000

Sigmoid Equation

P(y=1) = 1 / (1 + e-(1.00x -5.00))

Decision Boundary (P=0.5)

Threshold occurs at:

x = 5.00

Single Point Prediction

Selected X
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Probability
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