Learn more about the Microsoft.VisualStudio.Imaging.KnownImageIds.DecisionTree in the Microsoft.VisualStudio.Imaging namespace.
Tree models are then generated, excluding the data from each subsample in turn. The first tree is based on all of the cases except those in the first sample fold, the second tree is based on all of the cases except those in the second sample fold, and so on. For each tree, ...
FeatureName -oob \ -nCores 16 -nTrees 1000 -leafSize 8 #grow a 1000 tree forest evaluating half the features as candidates at each #split and reporting out of bag error after each tree to watch for convergence growforest -train train.fm -rfpred forest.sf -target B:FeatureName -mTry ...
MeasureTree MeasureWH Media MediaZoom Medium MeesageGroupError Megaphone Member MemberData MemberError MemberFilter MemberFolderClosed MemberFolderOpened MemberFormula MemberVariable Memory MemoryArray MemoryConfiguration MemoryWindow MenuBar MenuItem MenuItemCustomAction MenuSeparator Merge MergeChangeswithTool Merge...
Learn more about the Microsoft.VisualStudio.Imaging.KnownMonikers.DecisionTree in the Microsoft.VisualStudio.Imaging namespace.
1 for MinLeafSize. 10 for MinParentSize. These default values tend to grow deep trees for large training sample sizes. Train a regression tree using the default values for tree-depth control. Cross-validate the model using 10-fold cross-validation. rng(1); % For reproducibility MdlDefault ...
MeasureTree MeasureWH Media MediaZoom Medium MeesageGroupError Megaphone Member MemberData MemberError MemberFilter MemberFolderClosed MemberFolderOpened MemberFormula MemberVariable Memory MemoryArray MemoryConfiguration MemoryWindow MenuBar MenuItem MenuItemCustomAction MenuSeparator Merge MergeChangeswithTool...
dm7-decision-tree-c45 MachineLearninginRealWorld:C4.5 Outline HandlingNumericAttributes FindingBestSplit(s)DealingwithMissingValuesPruning Pre-pruning,Post-pruning,ErrorEstimates FromTreestoRules 2 Industrial-strengthalgorithms Foranalgorithmtobeusefulinawiderangeofrealworldapplicationsitmust:Permitnumericattributes...
where y¯¯¯Ri is the mean training label in region Ri. This mean training label is the hypothesis returned by the tree for all points in Ri, including its training examples. Therefore, (1) is a measure of the accuracy of the tree as applied to the training set. ...
Treemap TreeView Triangle Trigger TriggerActionListActive TriggerActionListInactive TriggerDisabled TriggerError TriggersActiveWhenOn TriggerScript TriggerWarning TryCatch TSApplication TSCordovaMultiDevice TSFileNode TSProjectNode TSSourceFile TurnOffTableWidth TwoColumns TwoColumnsLeftSplit TwoColumnsRightSplit Two...