• tree

  • Referenced in 18 articles [sw11163]
  • Regression Trees: Classification and regression trees. Runs a K-fold cross-validation experiment to find...
  • SSVM

  • Referenced in 61 articles [sw12678]
  • support vector machine for pattern classification using a completely arbitrary kernel. We term such reformulation ... algorithm. On six publicly available datasets, tenfold cross validation correctness of SSVM was the highest...
  • MDR

  • Referenced in 9 articles [sw22494]
  • integrates MDR with a cross-validation strategy for estimating the classification and prediction error...
  • mlr

  • Referenced in 28 articles [sw12357]
  • Interface to a large number of classification and regression techniques, including machine-readable parameter descriptions ... specific cost-sensitive learning. Generic resampling, including cross-validation, bootstrapping and subsampling. Hyperparameter tuning with...
  • ClassifyR

  • Referenced in 1 article [sw32620]
  • R/Bioconductor package ClassifyR: A framework for cross-validated classification problems, with applications to differential variability ... functions can also be provided. The classification framework is wrapped in a driver loop, that ... reproducibly carries out a number of cross-validation schemes. Functions for differential expression, differential variability...
  • HykGene

  • Referenced in 9 articles [sw23981]
  • genes that are most relevant for the classification task. RESULTS: To achieve this goal ... cross-validation accuracy compared with approaches that use top-ranked genes directly for classification. AVAILABILITY...
  • msgl

  • Referenced in 10 articles [sw26552]
  • classification. Suitable for high dimensional multiclass classification with many classes. The algorithm computes the sparse ... likelihood estimate. Use of parallel computing for cross validation and subsampling is supported through...
  • WilcoxCV

  • Referenced in 3 articles [sw08147]
  • Monte-Carlo cross-validation settings, for use in microarray-based binary classification...
  • rL-GenSVM

  • Referenced in 2 articles [sw34760]
  • methods, we obtain satisfactory classification accuracy by 10-fold cross-validation on all samples ... selects fewer feature genes and achieves higher classification accuracy. rL-GenSVM uses regularization parameters...
  • LiblineaR

  • Referenced in 4 articles [sw25718]
  • multi-class classification (one-vs-the rest, and Crammer & Singer method), cross validation for model...
  • PCP

  • Referenced in 3 articles [sw30033]
  • implements leading pattern classification and gene selection algorithms and incorporates cross-validation estimation of classifier...
  • PyMVPA

  • Referenced in 5 articles [sw15259]
  • pattern classification analyses of fMRI data. Here we introduce a Python-based, cross-platform...
  • Lie analysis

  • Referenced in 1 article [sw39046]
  • involve an ad-hoc classification of complex structures (such as crossings...
  • Unb-DPC

  • Referenced in 7 articles [sw25079]
  • information. The experimental results yield SVM based classification accurately of 97.1% for membrane protein types ... membrane proteins by using jackknife cross validation test. The results exhibit that proposed model achieved...
  • BNFinder2

  • Referenced in 1 article [sw34896]
  • module for classification by BNs, including cross-validation scheme and classifier quality measurements with receiver...
  • SVM Toolbox

  • Referenced in 9 articles [sw14742]
  • efficiency. Support for multi-class support vector classification using max wins, pairwise ... leave-one-out cross-validation error). Object oriented design, currently this just means that...
  • adabag

  • Referenced in 6 articles [sw08024]
  • algorithm and Breiman’s Bagging algorithm using classification trees as individual classifiers. Once these classifiers ... used to predict on new data. Also, cross validation predictions can be done. Since version...
  • PSOFuzzySVM-TMH

  • Referenced in 3 articles [sw27664]
  • support vector Machine is utilized as a classification algorithm. Two benchmark datasets, including ... model is assessed through 10-fold cross validation test. The empirical results reveal that ... framework PSOFuzzySVM-TMH outperforms in terms of classification performance in the examined datasets...
  • c_ml_stata

  • Referenced in 1 article [sw38737]
  • allows to implement the following classification algorithms: tree, boosting, random forest, regularized multinomial, neural network ... hyper-parameters’ optimal tuning via K-fold cross-validation using greed search. For each observation ... probabilities and predicted labels using the Bayes classification rule. This command makes ... Scikit-learn API to carry out both cross-validation and prediction...
  • TACOA

  • Referenced in 5 articles [sw35290]
  • TACOA - Taxonomic classification of environmental genomic fragments using a kernelized nearest neighbor approach. Results ... extensively evaluated using the leave-one-out cross validation strategy on fragments of variable length ... simply as ”unknown”. We compared the classification accuracy of TACOA with the latest intrinsic classifier...