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Analysis output

Submission information:
Dataset title: PredG4Quadratlas_VS_nonG3A2
Positive dataset filename: G3A2.noG3.txt (42 sequences)
Negative dataset filename: pred_uniprot.fasta (48 sequences)
Generated: 2023-10-17 14:10:53.410995
Dataset reference: 748931

Your dataset contains enough signal to be used as a model for classification. Please follow this link and quote the current reference number to create a new classifier.



Individual scales

Cov
ROC
 Scale title Z
p-value

Grouped properties

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Scale information

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Scale combinations


Model crossvalidation

comb	RF	KNN	SVM	ExtraTR	AdaBoostClassifier
1	0.8125	0.7125	0.6425	0.8225	0.8225
2	0.86	0.69	0.525	0.89	0.8725
3	0.8275	0.72	0.5575	0.7775	0.845
4	0.8	0.6125	0.53	0.775	0.7125
5	0.835	0.7175	0.5275	0.765	0.865
80	0.7875	0.6825	0.6675	0.86	0.7775

Maximum-based decision: 0.89(2,ExtraTR)
Using cross-based decision:
Classifier used: RF, properties: 2,  performance: 0.86
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Your dataset contains enough signal to be used as a model for classification. Please follow this link and quote the current reference number to create a new classifier.