Genes

KDD Cup 2001 prediction of gene/protein function and localization.

Dataset details

Associated task:

Classification

Domain:

Medicine

Data types:

Size:

1.8 MB

Count of tables:

Count of rows:

6,063

Count of columns:

Missing values:

Compound keys:

Loops:

Yes

Dataset version	Target	Algorithm	Author text	Measure	Value
genes	localization	MRDTL	MRDTL: A multi-relational decision tree learning algorithm	Accuracy	0.85
genes	function	MRDTL-2	A Multi-Relational Decision Tree Learning Algorithm – Implementation and Experiments	Accuracy	0.9144
genes	localization	MRDTL-2	A Multi-Relational Decision Tree Learning Algorithm – Implementation and Experiments	Accuracy	0.7611
genes	localization	Predictor Factory	Predictor Factory	Accuracy	0.6161
genes	growth	RELAGGS	Comparative Evaluation of Approaches to Propositionalization	Accuracy	0.78
genes	nucleus	RELAGGS	Comparative Evaluation of Approaches to Propositionalization	Accuracy	0.8
genes	nucleus	RPT	Learning Relational Probability Trees	Accuracy	0.89
genes	growth	RSD	Comparative Evaluation of Approaches to Propositionalization	Accuracy	0.825
genes	nucleus	RSD	Comparative Evaluation of Approaches to Propositionalization	Accuracy	0.84
genes	growth	SINUS	Comparative Evaluation of Approaches to Propositionalization	Accuracy	0.86
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