Machine learning---The basis for dividing decision trees (entropy, information gain, information gain rate, Gini value and Gini index) - Code World

Machine learning---The basis for dividing decision trees (entropy, information gain, information gain rate, Gini value and Gini index)

Enterprise 2023-10-02 23:58:14 views: null

NoSuchKey

Guess you like

Origin blog.csdn.net/weixin_43961909/article/details/132576668

Machine learning---The basis for dividing decision trees (entropy, information gain, information gain rate, Gini value and Gini index)

[Study Notes] [Machine Learning] 6. [Next] Decision Tree Algorithm (Entropy, Information Gain (Rate), Gini Value (Index), CART Pruning, Feature Engineering Feature Extraction, Regression Decision Tree)

Machine Learning Notes 02--Decision Tree Algorithm (teach you to understand)---information entropy, information gain, gain rate, Gini coefficient

Information entropy, conditional entropy, information gain, gain information rate, the Gini index briefly

The basis for the division of decision trees: information gain rate

Information entropy, information gain and the rate of information gain

Entropy, information gain, information gain rate

[Machine Learning] P23 Decision Tree, Entropy and Information Gain

Machine learning information entropy and information gain

AI Machine Learning - Information Entropy, Conditional Entropy, Information Gain

Gini value and Gini index

Information entropy, information gain and information gain ratio

Python machine learning (6) decision tree (on) construction tree, classification and measurement of information entropy, information gain, CART algorithm, pruning

Use of Information Entropy and Information Gain in Decision Tree Generation

Information Gain machine learning algorithms for decision tree --- Feature Selection

Random Forest Information & Entropy & Information Gain

Random Forest Information & Entropy & Information Gain

B- probability theory - entropy and information gain

Find the entropy and information gain of the training set

Basic concepts and connections of information entropy, information gain and conditional entropy

Decision tree and entropy, Gini impurity calculation

Decision tree and entropy, Gini impurity calculation

["Machine Learning" Zhou Zhihua (Watermelon Book)] Python Implementation of Construction, Visualization and Prediction of ID3 Decision Tree Based on Information Gain

The basis of information theory in machine learning - entropy, conditional entropy, joint entropy, relative entropy, mutual information and their properties

Machine Learning - Information entropy

Information gain KL divergence

Information gain algorithm

Decision Tree series three - Gini index, minus branches and

Calculating Information Gain for Continuous Values via RCpp

Machine Learning - Decision Trees

Recommended

Ranking

go common records

SVN power failure recovery

深入理解Redis集群主从复制原理

【二叉树】左叶子之和

[1] The first basic syntax Detailed Kotlin

Linux Ansible creates tasks and executes them

vmware ubuntu virtual machine boots online courses

Use Nodejs to crawl certain data from the web page and write the crawled data into excel (see the next article for the front-end part and the server-side part)

Principle underlying thread pool

The number of bytes occupied when char[ ] is initialized

Daily

More

2025-03-22(0)

2025-03-21(0)

2025-03-20(0)

2025-03-19(0)

2025-03-18(0)

2025-03-17(0)

2025-03-16(0)

2025-03-15(0)

2025-03-14(0)

2025-03-13(0)