Multiclass classification

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Overview

Machine learning Statistical classification Binary Decision trees K-NN

21 related topics

Better-than-random multiclass models

Likelihood ratios Diagnostic odds ratios Maximum likelihood estimator

3 related topics

General algorithmic strategies

Hierarchical classification Tree

2 related topics

Evaluation

Accuracy Macro F1

2 related topics

Topics to explore

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Overview

Machine learning
Statistical classification
Binary Binary classification
Decision trees
K-NN
Neural networks
Multinomial logistic regression
Support vector machine
Multi-label classification
Youden's J Youden's J statistic
Roc curve Receiver operating characteristic
Scoring rule
Heuristic
Softmax function
Extreme learning machines Extreme learning machine
K-nearest neighbors
Naive Bayes
Conditional independence
Decision tree learning
Support vector machines
Multi expression programming

Better-than-random multiclass models

Likelihood ratios Likelihood ratios in diagnostic testing
Diagnostic odds ratios Diagnostic odds ratio
Maximum likelihood estimator Maximum likelihood estimation

General algorithmic strategies

Hierarchical classification
Tree Tree (data structure)

Learning paradigms

Online learning Online machine learning

Evaluation

Accuracy Accuracy and precision
Macro F1 F-score

Advanced semantic analysis

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Map overview Semantic statistics

Nodes35

Edges34

Triples10

Avg. degree1.94

Density0.057143

Components1

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