regression analysis/ decision treeartificial neural networklinear regression methodsdata miningstatistical techniquescategorical independent variables/ C6170K Knowledge engineering techniques C1160 Combinatorial mathematics C1140Z Other topics in statistics C5290 Neural computing techniques...
Decision trees are a fundamental statistical learning tool for addressing classification and regression problems through a recursive partitioning approach
trees learning by example pattern classification regression analysis tree searching/ top-down induction decision trees classifiers machine learning pattern recognition data mining pruning method/ C1250 Pattern recognition C1230L Learning in AI C1160 Combinatorial mathematics C1140Z Other topics in statistics...
The decision tree model has strong interpretability and is the basis of machine learning methods such as random forest and deep forest. Selecting the segmentation attribute and segmentation value of nodes is the core problem of the decision tree method, which has an impact on the generalization abi...
We then select the target dataset for the classification decision tree: y_cls = df.target_cls y_cls.tail() Finally, we select the target dataset for the regression decision tree: y_rgs = df.target_rgs y_rgs.tail() Splitting the data into training and testing data sets ...
Analysis of the generalization ability of a full decision tree Classification algorithms based on full decision trees are investigated. Due to the decision tree construction under consideration, all the features satisf... Genrikhov,IE - 《Computational Mathematics & Mathematical Physics》 被引量: 1发表...
Bibliography, Theoretical or Mathematical/ decision treeslearning by examplepattern classificationregression analysistree searching/ top-down inductiondecision trees ... L Rokach,O Maimon 被引量: 563发表: 2005年 An Analysis of Reduced Error Pruning Top-down induction of decision trees has been observed...
In this study, we aimed to evaluate the association between hematological and demographic factors with hs-CRP levels using decision tree (DT) and linear regression (LR) modeling. This study was conducted on a population of 9704 males and females aged 35 to 65 years recruited from the Mashhad ...
Decision Tree Application to Classification Problems with Boosting Algorithm. Electronics 2021, 10, 1903. [Google Scholar] [CrossRef] Di Persio, L.; Fraccarolo, N. Energy Consumption Forecasts by Gradient Boosting Regression Trees. Mathematics 2023, 11, 1068. [Google Scholar] [CrossRef] Disclaimer...
,xi,xn}. The regression decision tree algorithm splits the data into smaller groups based on a selected threshold value of 𝑈𝑥𝑖Uxi. The method searches for the predictor and split values that best reduce the sum of the square error (SSE) on the predictors (Y); assuming that the ...