Tabular Classification on OpenML-CC18 Eval-only v2 (test) benchmark leaderboard · SOTA2 Research

Tabular Classification on OpenML-CC18 Eval-only v2 (test)

100Accuracy (analcat-auth)TabPFN v2

Updated 4mo ago

Evaluation Results

Method	Links
TabPFN v22026.03		100	59.8	99.1	77.7	98	86.9	97.4	74.4	57.6	81	66.6	75.3	86	76.2	76.2	99.2	98.3	99.7	96.2	97.8	53.8	99.2	91.2	67.2	74.3	89	99.7	97.4	89.8	97.8	98.5	96.8	98.8	91.6	94.3	99.4	99.7	87.6	87.2
Nano TabPFN2026.03		99.9	58.1	96.6	73.5	93.5	87.9	92.3	70.8	56.6	76.2	69.7	67.7	83.4	76.9	76.3	94.1	94.6	98.9	95	96.7	56.8	97.8	86.6	65.7	74.6	81.3	98.5	96.7	86.4	96.9	97.2	94.6	96.5	87.9	91.1	92.7	99	85.4	84.8
ShapPFN (+loss)2026.03		99.9	58	95.5	74.4	92.7	86.5	93.2	71.5	56.9	82.2	68.3	72	83.6	75.2	75.2	96.2	94.5	99.1	95.4	95.9	56.6	99.1	86	63.2	76.3	81.9	97.4	96.9	86.4	96.2	97.3	95.2	98.1	86.5	87.9	94.5	98.8	85.5	84.8
ShapPFN (arch)2026.03		99.8	58.6	93.8	70.1	93.1	88.1	89.1	71.4	53.8	74.3	67.5	70.9	83.2	77.4	77	90.6	93.5	98.5	94.6	96.3	57.6	97.7	80.6	67.4	78.1	76.2	97.3	95.8	86.4	96.5	96.3	91.4	89.8	88.1	88.7	88.5	98.6	84.2	83.7
Random Forest2026.03		99.8	53.8	82.1	74.2	94.9	86.4	89.2	69.6	57.8	85.1	66.8	73.2	86.9	73	71.2	98.5	96.3	99	94.2	97.2	55.9	99.2	87.2	63	72.8	81.9	99.1	97.6	86.8	97.1	97.9	95.2	97.8	89.6	90.3	99.4	98.3	85.4	85.1
KNN2026.03		98.8	57.1	85.8	62.8	80.2	51	81.9	61.4	47.3	52.7	64	72.7	76	68.4	63.8	85	94.5	98.5	85.4	95.1	53.2	98	54.3	39.2	62.8	53.3	98.5	90.7	77	94	94.7	69	88.9	67	79.5	79	96.1	75.1	75.3
Decision Tree2026.03		86.5	50.6	70.8	61.8	74	72.1	65.7	58.1	54.6	73.8	54.1	58.2	62.6	53.7	53.4	91.9	80.3	82.8	82.5	76.1	50	82.2	54.2	62.7	51.9	69.2	85.7	87.7	73.1	82.6	90.6	84.7	86.3	74.2	73.6	92	95.3	71.9	71.4