regression-modeler

Automated regression modeling tool — performs linear regression (OLS) or logistic regression (Logit) on tabular data, producing comprehensive statistical results with plain-language interpretation.

Capabilities

Feature	Description
Linear Regression	OLS with coefficients, R², adjusted R², F-test, AIC/BIC, Durbin-Watson
Logistic Regression	Logit with coefficients, Odds Ratio, Pseudo R², likelihood ratio test
Multicollinearity Detection	VIF values for each predictor with warning levels
Plain-Language Interpretation	Clear explanations of what each metric and coefficient means
Auto Detection	Automatically switches to logistic regression when the target is binary (0/1)

Quick Start

# Linear regression: predict price using all numeric columns as predictors
python3 scripts/regression_analyzer.py data.csv --target price