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Diagnosis was included as a classifier.
To be included as a classifier for distinguishing carriers from non-carriers, a feature had to be selected in at least half of these 177 analyses.
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Furthermore, genes are usually included in a classifier applying stringent statistical criteria.
In calculation of the MAPLe-AC algorithm, ADLs and cognitive performance are included as they are the basic classifiers along with behavioral symptoms.
We then propose a set of machine learning classifiers, including a Naive Bayes classifier, a k-nearest neighbor classifier and a support-vector machine (SVM) classifier and show that some of them outperform recently proposed measures of sequence conservation.
For comparison, a position classifier (BL) was included as baseline in our experiments.
Including higher order phase locking significantly improved the performance of λ as a classifier to detect TF targets.
Using only 0.1% of the features including the proposed attributes, the best performance achieved is 94.9% using CA as a classifier, 72.8% using SVM and 62.2% using NN.
The machine learning algorithm module acts as a classifier.
Then, it uses Bayes algorithm [33] as a classifier.
The GentleBoost algorithm is used as a classifier.
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