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Rapidminer studio decision tree accuracy11/10/2022 This course is also ideal for Analytics Professionals and Data Mining Professionals.ĭecision Tree Modeling Using R Training Course Overviewĭecision Tree Modeling Using R is a popular Analytic technique which can be implemented in various business fields such as money lending business, automobile, and telecom. This training course is ideal for anyone however, Professionals and Students who want to enter the Analytics Industry. Entropy in the Context of Decision Treeīasic knowledge of R programming language required before attending this course.Syntax for CHAID using R, and CHAID vs CART.Implement Chi-square for Decision Tree Development.Advantages and Disadvantages over Linear Regression.How is it Different from Linear Regression?.Learning More from a Practical Point of View. #RAPIDMINER STUDIO DECISION TREE ACCURACY SOFTWARE#Steps taken by the Software Program to Implement the Learning on Unseen Data.Industry Practice of Classification Tree - Development, Validation and Usage Steps taken by software programs to learn the classification (develop the tree).First on Categorical Dependent Variable.Developing first Decision Tree in R studio.General Precautions related to Data DesignĬlassification of Tree development and Algorithm details.Decide Performance Window Horizon Using Vintage Analysis.Definitions related to Objective Segmentations.Gains from a Decision Tree (KS calculations).Decision Tree Modeling Using R Training Course Outline
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