'Highest information gain' diaporamas de présentation

Data Mining: Classification and Prediction

Data Mining: Classification and Prediction. What is classification? What is prediction? Issues regarding classification and prediction Classification by decision tree induction Bayesian classification Rule-based classification Classification by back propagation.

7.25k views • 197 slides

Data Mining: Classification and Prediction

Data Mining: Classification and Prediction. What is classification? What is prediction? Issues regarding classification and prediction Classification by decision tree induction Bayesian classification Rule-based classification Classification by back propagation.

2.6k views • 174 slides

Data Mining: Classification and Prediction

Data Mining: Classification and Prediction. What is classification? What is prediction? Issues regarding classification and prediction Classification by decision tree induction Bayesian classification Rule-based classification Classification by back propagation.

1.75k views • 174 slides

936 views • 93 slides

Classification and Prediction

Classification and Prediction. Classification and Prediction. What is classification? What is regression? Issues regarding classification and prediction Classification by decision tree induction Scalable decision tree induction. Classification vs. Prediction. Classification:

499 views • 48 slides

CS 9633 Machine Learning Decision Tree Learning

CS 9633 Machine Learning Decision Tree Learning . References: Machine Learning by Tom Mitchell, 1997, Chapter 3 Artificial Intelligence: A Modern Approach , by Russell and Norvig, Second Edition, 2003, pages C4.5: Programs for Machine Learning , by J. Ross Quinlin, 1993.

626 views • 34 slides

Decision Tree Problems

Decision Tree Problems. CSE-391: Artificial Intelligence University of Pennsylvania Matt Huenerfauth April 2005. Homework 7. Perform some entropy and information gain calculations.

368 views • 27 slides