Rule Induction and Decision Trees – II | Artificial Intelligence | Video lecture

Deal Score0

 Rule Induction and Decision Trees – II

[divider]

TOPICS:

Artificial Intelligence1:11
Instructional Objectives
ID3
Data is sometimes noisy
Practical issues with Decision Trees
Data is sometimes noisy
Evaluating Performance Accuracy
Overfitting
overfitting the Data
overfitting the Data: definition
Causes for Overfitting the Data
Stopping
Pruning via cross-validation
Pruning via Cross-Validation
Training and Validation
Decision Tree Pruning
Reduced Error Pruning
Example
Process continues until no improvement
Advantages of Rule Post-Pruning
Methods to Validate the New Tree
fl Methods to Validate the New Tree
Methods to Validate the New Tree
Discretizing Continuous Attributes
Missing Attribute Values
Continuous Valued Attributes

 

Download links:

MP4 format server 1 server 2
FLV format: server 1 server 2
3gp format: server 1 server 2