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Mumtaz dataset and benchmarks · SOTA2 Research

Research Datasets

Mumtaz

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Depression Detection

Mumtaz 2016 (10-fold cross-validation)

95.19Accuracy

15

Mumtaz

100Balanced Accuracy

13

EEG Classification

Mumtaz 2016

95.85Balanced Accuracy

13

EEG Classification

Mumtaz 2017

89.33Accuracy (ACC)

12

Major depressive disorder classification

MUMTAZ 2016

94.39Balanced Accuracy

8

Depression Classification

Mumtaz 2016 (test)

95.85Balanced Accuracy

6

EEG Classification

Mumtaz 2-Class 2016 (test)

94.09Balanced Accuracy

5

Popular tasks

EEG Classification Classification Depression Detection Depression classification Major Depressive Disorder Classification

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