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Analysis output

Submission information:
Dataset title: G3A2 and G4A4
Positive dataset filename: G3A2.noG3.Li.fasta (126 sequences)
Negative dataset filename: G3A2.G3.K.fasta (470 sequences)
Generated: 2023-10-03 09:46:58.586799
Dataset reference: 743823

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	0.7179	0.6138	0.5798	0.7696	0.6458
2	0.7638	0.6442	0.5971	0.7833	0.7599
3	0.7689	0.576	0.6035	0.7699	0.7583
4	0.7574	0.6298	0.575	0.7702	0.7567
5	0.7372	0.6497	0.5663	0.7689	0.7429
80	0.7542	0.6356	0.6388	0.7849	0.7577

Maximum-based decision: 0.784935897436(80,ExtraTR)
Using cross-based decision:
Classifier used: ExtraTR, properties: 80,  performance: 0.784935897436
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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.