Sequence Classification on Breast Cancer dataset benchmark leaderboard · SOTA2 Research

Sequence Classification on Breast Cancer dataset

86.8AccuracyCGR-Rips

Evaluation Results

Method	Links
CGR-Rips2025.12		86.8	83.3	86.8	84	44.4	67.3
FCGR2025.12		86.3	83.1	86.3	84.4	49	67.7
CGR-Rips2025.12		85.8	84.5	85.8	84.7	44.6	69.1
CGR-Rips2025.12		85.8	85.6	85.8	85	46.4	70.9
CGR-Rips2025.12		84.2	82.7	84.2	82.8	45	69.7
Auto-Encoder2025.12		83.2	80.2	83.2	80.4	43.1	64.5
FCGR2025.12		83.1	73.5	83.1	77.9	32.9	58.6
CGR-Rips2025.12		82.6	82	82.6	81.5	42.5	69.1
FCGR2025.12		80.3	68.4	80.3	72	24.3	50.9
FCGR2025.12		80	64	80	71.1	22.2	50
FCGR2025.12		80	64.2	80	71.2	22.2	50.1
RandomCGR2025.12		80	64	80	71.1	22.2	50
RandomCGR2025.12		80	64	80	71.1	22.2	50
RandomCGR2025.12		80	64	80	71.1	22.2	50
RandomCGR2025.12		80	64	80	71.1	22.2	50
CGR-Rips2025.12		80	76.9	80	77.1	35.3	69.7
WDGRL2025.12		79.4	71.5	79.4	73	27	51.8
RandomCGR2025.12		79.2	63.8	79.2	70.7	22.1	49.7
Spike2CGR2025.12		78.3	61.3	78.3	68.7	21.9	50
Spike2CGR2025.12		78.3	61.2	78.3	68.7	21.9	50
Spike2CGR2025.12		78.3	61.2	78.3	68.7	21.9	50
Spike2CGR2025.12		77	55.9	77	65.4	19.8	50
Spike2CGR2025.12		76.5	65	76.5	65	20	50
SeqVec2025.12		67.4	81.9	67.4	72.5	38.9	65.1
OHE2025.12		60.9	85.3	60.9	67.6	39.5	67.8
Minimizer2025.12		57.7	80.7	57.7	63.5	33.2	61.6
CGR-Rips2025.12		51.1	56.1	51.1	53.3	18	43
Spaced k-mer2025.12		27.6	46	27.6	25.3	21.6	55.9
Spike2Vec2025.12		24.1	29.8	24.1	21.2	20	55
PWM2Vec2025.12		19.9	80.8	19.9	22.1	19	54.1
FCGR2025.12		11.6	1.3	11.6	2.4	5.2	50
Spike2CGR2025.12		11.6	1.1	11.6	2.2	5	50
RandomCGR2025.12		9.5	1.1	9.5	1	9.5	50
FCGR2025.12		8.9	0.8	8.9	1.4	4.1	50
Spike2CGR2025.12		8.5	0.5	8.5	0.9	0.8	50
RandomCGR2025.12		2.8	0.2	2.8	0.4	2.7	50