'Decision tree algorithms' presentation slideshows

Data Mining Decision Trees

Data Mining Decision Trees. Last updated 8/21/19. categorical. categorical. continuous. class. Example of a Decision Tree. Splitting Attributes. Refund. Yes. No. NO. MarSt. Married. Single, Divorced. TaxInc. NO. < 80K. > 80K. YES. NO. Model: Decision Tree. Training Data.

1.13k views • 112 slides

Discrete Structure

Discrete Structure. Li Tak Sing( ??? ). Section 4.3.3 Well-founded orders. Well-founded A poset is said to be well-founded if every descending chain of elements is finite. In this case, the partial order is called a well-founded order. Examples of well-founded poset. The < relations of N.

666 views • 57 slides

Classifiers, Part 1

Week 1, video 3:. Classifiers, Part 1 . Prediction. Develop a model which can infer a single aspect of the data (predicted variable) from some combination of other aspects of the data (predictor variables) Sometimes used to predict the future

594 views • 50 slides

Decision Trees

Decision Trees. MSE 2400 EaLiCaRA Spring 2014 Dr. Tom Way. Decision Tree. A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility .

702 views • 45 slides

Chapter 3 Data Mining : Classification

362 views • 34 slides

Discrete Structure

Discrete Structure. Li Tak Sing( ??? ). Section 4.3.3 Well-founded orders. Well-founded A poset is said to be well-founded if every descending chain of elements is finite. In this case, the partial order is called a well-founded order. Examples of well-founded poset. The < relations of N.

452 views • 33 slides

Decision Tree Learning

272 views • 14 slides

Decision Tree Learning

146 views • 14 slides