{
"test_name": "VIF Test (Python - statsmodels)",
"dataset": "prostate",
"formula": "lcavol ~ lweight + age + lbph + svi + lcp + gleason + pgg45 + lpsa",
"vif_values": [
1.611373915499693,
1.3316217814105702,
1.3883309400165056,
2.1686972403068627,
2.5608410842512384,
2.426591557254666,
2.9197090045322436,
2.022162633919932
],
"variable_names": [
"lweight",
"age",
"lbph",
"svi",
"lcp",
"gleason",
"pgg45",
"lpsa"
],
"max_vif": 2.9197090045322436,
"interpretation": "Low multicollinearity (VIF <= 5)",
"description": "Variance Inflation Factor measures multicollinearity among predictors. Uses statsmodels.stats.outliers_influence.variance_inflation_factor."
}