SOTAVerified

Binary Classification

Papers

Showing 22012225 of 2574 papers

TitleStatusHype
Learning by Minimizing the Sum of Ranked RangeCode0
Ensemble Genetic ProgrammingCode0
Ensemble Methods for Robust Support Vector Machines using Integer ProgrammingCode0
Classification using Ensemble Learning under Weighted Misclassification LossCode0
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC MetricCode0
Real-time Fake News from Adversarial FeedbackCode0
Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie ReviewsCode0
AcrosticSleuth: Probabilistic Identification and Ranking of Acrostics in Multilingual CorporaCode0
Learning Contrastive Feature Representations for Facial Action Unit DetectionCode0
Learning Convolutional Transforms for Lossy Point Cloud Geometry CompressionCode0
Learning curves for the multi-class teacher-student perceptronCode0
Classification from Positive, Unlabeled and Biased Negative DataCode0
An innovative adaptive kriging approach for efficient binary classification of mechanical problemsCode0
Decorrelation using Optimal TransportCode0
Real-Time Rotation-Invariant Face Detection with Progressive Calibration NetworksCode0
EPP: interpretable score of model predictive powerCode0
Re-Benchmarking Pool-Based Active Learning for Binary ClassificationCode0
A New Dataset and Methodology for Malicious URL ClassificationCode0
Class Binarization to NeuroEvolution for Multiclass ClassificationCode0
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic DataCode0
On the Stability of a non-hyperbolic nonlinear map with non-bounded set of non-isolated fixed points with applications to Machine LearningCode0
BERT based Transformers lead the way in Extraction of Health Information from Social MediaCode0
Estimation and Applications of Quantiles in Deep Binary ClassificationCode0
Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation DisagreementCode0
Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino StudentsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Trompt + OpenAI embeddingAUROC0.98Unverified
2LightGBM + OpenAI embeddingAUROC0.97Unverified
3FTTransformer + RoBERTa fintuneAUROC0.96Unverified
4LightGBM + RoBERTa embeddingAUROC0.95Unverified
5FTTransformer + RoBERTa embeddingAUROC0.94Unverified
6ResNet + RoBERTa embeddingAUROC0.93Unverified
7ResNet + OpenAI embeddingAUROC0.92Unverified
8FTTransformer + OpenAI embeddingAUROC0.91Unverified
#ModelMetricClaimedVerifiedStatus
1Trompt + OpenAI embeddingAUROC0.81Unverified
2Multimodal-Net All-TextAUROC0.8Unverified
3ResNet + RoBERTa finetuneAUROC0.79Unverified
4LightGBM + RoBERTa embeddingAUROC0.77Unverified
#ModelMetricClaimedVerifiedStatus
1Attention based CNNF1 score0.93Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoostF1-Score98.79Unverified