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Recidivism prediction on NLSY97

0.6559AUC

Extra Trees Classifier

Updated 1mo ago

Evaluation Results

Method	Links
Extra Trees Classifier 2026.01		0.6559	75.51	75.51	71.07	-	70.25	0.1249	0.1438
CatBoost Classifier 2026.01		0.6449	74.6	74.6	71.02	-	70.08	0.1295	0.1433
Random Forest Classifier 2026.01		0.6448	76.06	76.06	70.2	-	69.29	0.0939	0.1142
TabPFN baseline 2026.01		0.641	70.11	0	0	-	-	-	-
Gradient Boosting Classifier 2026.01		0.6375	74.61	74.61	71.9	-	71.35	0.1695	0.1816
Ridge Classifier 2026.01		0.612	61.87	61.87	64.42	-	70.8	0.1403	0.158
Linear Discriminant Analysis 2026.01		0.6103	61.31	61.31	63.93	-	70.64	0.1324	0.1512
Logistic Regression 2026.01		0.6088	62.98	62.98	65.38	-	70.98	0.1524	0.1672
Extreme Gradient Boosting 2026.01		0.6015	73.68	73.68	70.24	-	69.19	0.1091	0.1211
AdaBoost Classifier 2026.01		0.597	70.36	70.36	68.81	-	67.91	0.1016	0.0997
Naive Bayes 2026.01		0.5854	29.1	29.1	23.28	-	64.25	-0.0029	-0.0069
Decision Tree Classifier 2026.01		0.5299	64.45	64.45	65.27	-	66.38	0.0554	0.056
SVM (Linear Kernel) 2026.01		0.5231	34.31	34.31	21.89	-	29.08	-0.0013	0.0014
Quadratic Discriminant Analysis 2026.01		0.5167	27.63	27.63	20.3	-	62.67	-0.0065	-0.019
K Neighbors Classifier 2026.01		0.4789	47.89	47.89	51.53	-	63.5	-0.0144	-0.0186