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Finally, for each pair considered for across data set classification, we perform consolidation by sub-setting to a common set of gene probes.
The experimental results show that the features produced by RSAR improve on generalization accuracy: the training and testing set classification accuracy rates were 96.9% and 98.2%, respectively.
Based on the complexity characteristics of the data set classification, the transformation of the subset of the data set would be completed.
Feature selection is based on two criteria, namely the reaction of the cross-validation data set classification error due to the removal of the individual features and the diversity of neural networks comprising the committee.
Rather than trying to balance the training pool (e.g., by undersampling the larger class), ADMET Modeler addresses such imbalances by scaling the terms in the objective function by class size and by relying on Youden's index J[28] to set classification thresholds (see Methods for details).
Using this eight-gene predictor set, classification of a sample as being either PC or a healthy control was attempted in a blinded manner using a sample set consisting only of the samples that were not used to create the predictor set (i.e. 24/68).
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In both partial sets the classification error is around 11-12 per cent, whereas in the ALL set the classification error drops significantly to 2percentnt.
Fig. 1 Liver data set employing classification random forests.
Fig. 3 Ames data set employing classification random forests.
All these 42 values of each audio segment were used as a feature set for classification.
If these cost factors are not properly set, poor classification result will be obtained.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com