Multi-class Classification

Multi-class classification is a type of supervised learning where the goal is to assign an input to one of three or more distinct classes. Unlike binary classification (which has only two classes), multi-class classification handles multiple labels and uses algorithms like logistic regression, decision trees, random forests, SVMs, or neural networks to predict the correct category based on the features of the input data.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 171–180 of 903 papers

Title	Date	Tasks	Status	Score
Evaluating ML-Based Anomaly Detection Across Datasets of Varied Integrity: A Case Study	Jan 30, 2024	Anomaly DetectionDataset Generation	CodeCode Available	5
Federated Learning with Only Positive Labels	Apr 21, 2020	Federated LearningMulti-class Classification	CodeCode Available	5
Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks	Apr 15, 2018	ClusteringMulti-class Classification	CodeCode Available	5
Adaptive Gradient Methods Converge Faster with Over-Parameterization (but you should do a line-search)	Jun 11, 2020	Binary ClassificationMulti-class Classification	CodeCode Available	5
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output Codes	May 9, 2025	Classificationimage-classification	CodeCode Available	5
Generalized Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses	Nov 1, 2022	ClassificationMulti-class Classification	CodeCode Available	5
Emulating Spatio-Temporal Realizations of Three-Dimensional Isotropic Turbulence via Deep Sequence Learning Models	Dec 7, 2021	Dimensionality ReductionMulti-class Classification	CodeCode Available	5
GenSVM: A Generalized Multiclass Support Vector Machine	Dec 30, 2016	Multi-class Classification	CodeCode Available	5
Enhanced Network Embedding with Text Information	Nov 29, 2018	ClusteringMulti-class Classification	CodeCode Available	5
Efficient Robust Optimal Transport with Application to Multi-Label Classification	Oct 22, 2020	Multi-class ClassificationMulti-Label Classification	CodeCode Available	5

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All datasets COVID-19 CXR Dataset COVID chest X-ray Reuters-52 TII-SSRC-23 Training and validation dataset of capsule vision 2024 challenge.

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	COVID-CXNet	Accuracy (%)	94.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	COVID-ResNet	F1 score	0.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SVM (tficf)	Macro F1	73.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Extra Trees	F1-Score	93.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Multi-Model Ensemble	Mean AUC	0.99	—	Unverified