Web1.创建分类决策树或回归决策树. load carsmall % contains Horsepower, Weight, MPG X = [Horsepower Weight]; rtree = fitrtree (X,MPG);% create regression tree load fisheriris % load the sample data ctree = fitctree (meas,species); % create classification tree view (ctree) % text description. 顺便提一下,MATLAB中默认的划分 ...
MATLAB-for-Machine-Learning/DecisionTrees.m at master - Github
WebDescription. label = resubPredict(tree) returns the labels tree predicts for the data tree.X. label is the predictions of tree on the data that fitctree used to create tree. [label,posterior] = resubPredict(tree) returns the posterior class probabilities for the predictions.[label,posterior,node] = resubPredict(tree) returns the node numbers of tree … Webexample. label = predict (Mdl,X) returns a vector of predicted class labels for the predictor data in the table or matrix X, based on the trained, full or compact classification tree Mdl. … grain clock nursing
tree = fitctree(meas,species(50,:)) not working - MATLAB …
WebDescription. ClassificationPartitionedModel is a set of classification models trained on cross-validated folds. Estimate the quality of classification by cross validation using one or more "kfold" methods: kfoldPredict, kfoldLoss, kfoldMargin, kfoldEdge, and kfoldfun. Every "kfold" method uses models trained on in-fold observations to predict the response for out-of … Webrocmetrics オブジェクトを作成してマルチクラス分類問題のパフォーマンス メトリクスを計算し、関数 average を使用してメトリクスの平均値を計算します。average の出力を使用して平均 ROC 曲線をプロットします。. fisheriris データセットを読み込みます。 行列 meas には、150 種類の花についての ... WebDescription. tree1 = prune (tree) creates a copy of the classification tree tree with its optimal pruning sequence filled in. tree1 = prune (tree,Name,Value) creates a pruned tree with … chinalimboserver