Sentence examples for for classification we used from inspiring English sources

For classification we used an algorithm called SRC.

For classification, we used standard schemes like decision tree (C5) and large margin (SVM) learning methods.

For classification we used LibSVM [16] with C = 1 and a linear kernel.

For classification, we used a naive Bayes approach, decision trees, random forest, nearest neighbour and SVM.

For classification, we used a probability cut-off of 0.358, which empirically maximized the sum of sensitivity and specificity (supplementary Table S2; annotation of M-GBM sample classification supplementary Table S1).

For classification, we use SVM classifier with linear kernel (c=2−5, g=2−7) [83] and histogram intersection (HI) kernel [75].

For training and evaluating the results for the classification, we used a hold-out strategy wrapped by 10-fold cross-validation.

Since MFCC features combined with SVM is a generally accepted practice for audio classification, we used it as a benchmark for our CNN algorithm.

For GO classification we used the web tool FuncAssociate [35].

For sepsis classification we used standard criteria [6].

For specimen classification we used the Nearest Neighbour (NN) classifier, a statistical multi-factorial analysis tool known to perform well specifically for cancer classification when compared with other methods.