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Analysis output

Submission information:
Dataset title: K vs Li
Positive dataset filename: uniprot-yourlist_M20220328F248CABF64506F29A91F8037F07B67D147B6E57-filtered-rev-Li-dep-.fasta (70 sequences)
Negative dataset filename: uniprot-yourlist_M2022032892C7BAECDB1C5C413EE0E0348724B68247B0AAC-filtered-rev-K-Dep-.fasta (133 sequences)
Generated: 2022-03-28 16:45:04.035069
Dataset reference: 447464

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	0.8429	0.8786	0.7357	0.8571	0.8429
2	0.8286	0.8286	0.7214	0.8214	0.85
3	0.9214	0.9429	0.8286	0.9429	0.9643
4	0.9071	0.7071	0.7071	0.8714	0.8786
5	0.9	0.7714	0.7714	0.9	0.9143
80	0.8929	0.8071	0.8286	0.8643	0.8643

Maximum-based decision: 0.964285714286(3,AdaBoostClassifier)
Using cross-based decision:
Classifier used: AdaBoostClassifier, properties: 3,  performance: 0.964285714286
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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.