Free Logistic Regression Calculator for New Zealanders
A simple one-feature logistic regression. Provide rows of x and y, where y is 0 or 1. The fitter runs 200 gradient descent steps and reports the weight, bias, and training accuracy.
Binary data
Decision
P(y=1) = sigmoid(w x + b)
trained over 200 steps
Weight w and bias b fitted on 10 rows.
Weight w-
Bias b-
Decision boundary x*-
Training accuracy-
About our Logistic Regression Calculator
Disclaimer: This calculator is for information only and does not constitute financial advice. Real-world figures may differ due to fees, rounding, rate changes, and policy specifics. Always confirm figures with the relevant provider before signing anything.