Classification

Phrasings that mean this problem

ClassificationBinary classificationLinear classificationNonlinear classificationMax-margin classificationLarge-scale classificationInstance-based classificationCorrelation-aware classificationInterpretable classificationRegression and classification treesEnsemble classificationBoosted classificationProbabilistic classificationNonparametric classificationKernel classificationOnline classificationOnline kernel classificationText classificationImbalanced classificationDecision tree inductionBoosted predictionTabular predictionLarge tabular predictionCategorical predictionEnsemble blendingNonlinear discriminationPost-hoc ensemblingLarge-scale SVM

gaussian-processes

• Gaussian process classificationLaplace approximationstandardgaussian-processes
• Gaussian process classificationExpectation propagationspecialistgaussian-processes

information-retrieval-nlp

• Maximum entropy classifierGIS trainingspecialistinformation-retrieval-nlp

kernel-methods

• Kernel logistic regressionstandalonespecialistkernel-methods
• Least-squares SVMEquality-constraint solvingspecialistkernel-methods
• Kernel perceptronstandalonespecialistkernel-methods
• Kernel Fisher discriminantstandalonespecialistkernel-methods
• Kernel density classificationParzen windowsstandardkernel-methods
• Core vector machineMinimum enclosing ballspecialistkernel-methods
• PegasosStochastic subgradient SVMstandardkernel-methods

machine-learning

• Naive BayesLaplace smoothingcanonmachine-learning
• K-nearest neighborsEuclidean distancecanonmachine-learning
• K-nearest neighborsDistance-weighted votingstandardmachine-learning
• K-nearest neighborsMahalanobis distancestandardmachine-learning
• Logistic regressionIteratively reweighted least squarescanonmachine-learning
• PerceptronMistake-driven updatescanonmachine-learning
• Passive-aggressiveMargin-constrained updatesspecialistmachine-learning
• Support vector machineSequential minimal optimizationcanonmachine-learning
• Support vector machineRBF kernelcanonmachine-learning
• Support vector machineHinge-loss subgradientstandardmachine-learning
• Decision treeInformation gain splitscanonmachine-learning
• Decision treeGini impurity splitscanonmachine-learning
• Decision treeGain ratio splitsstandardmachine-learning
• CARTCost-complexity pruningcanonmachine-learning
• C4.5standalonestandardmachine-learning
• Random forestBootstrap feature baggingcanonmachine-learning
• Extremely randomized treesRandom split thresholdsstandardmachine-learning
• AdaBoostExponential reweightingcanonmachine-learning
• Gradient boostingFunctional gradient stagescanonmachine-learning
• XGBoostSecond-order split gaincanonmachine-learning
• LightGBMGradient-based one-side samplingstandardmachine-learning
• LightGBMHistogram leaf-wise growthstandardmachine-learning
• CatBoostOrdered target encodingspecialistmachine-learning
• StackingHeld-out meta-learnerstandardmachine-learning

model-selection

• Threshold movingROC-optimal cutoffstandardmodel-selection
• Ensemble selectionGreedy forward selectionspecialistmodel-selection