SOTAVerified

General Classification

Algorithms trying to solve the general task of classification.

Papers

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Showing 5376–5400 of 14581 papers

TitleStatusHype
Comparative survey of visual object classifiers—0
Comparing a Hand-crafted to an Automatically Generated Feature Set for Deep Learning: Pairwise Translation Evaluation—0
Comparing approaches for mitigating intergroup variability in personality recognition—0
Comparing Automatic and Human Evaluation of Local Explanations for Text Classification—0
Comparing BERT against traditional machine learning text classification—0
Comparing Classification Models on Kepler Data—0
Comparing Convolutional Neural Networks to Traditional Models for Slot Filling—0
Comparing Deep Learning Models for Multi-cell Classification in Liquid-based Cervical Cytology Images—0
Comparing Different Deep Learning Architectures for Classification of Chest Radiographs—0
Comparing Machine Learning Algorithms with or without Feature Extraction for DNA Classification—0
Comparing Machine Learning and Deep Learning Approaches on NLP Tasks for the Italian Language—0
Comparing Multi-class, Binary and Hierarchical Machine Learning Classification schemes for variable stars—0
Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data—0
Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech—0
Comparing persistence diagrams through complex vectors—0
Comparing Speech and Text Classification on ICNALE—0
Comparing the Performance of NLP Toolkits and Evaluation measures in Legal Tech—0
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark—0
Comparing Two Basic Methods for Discriminating Between Similar Languages and Varieties—0
Comparing Word Representations for Implicit Discourse Relation Classification—0
Comparison among dimensionality reduction techniques based on Random Projection for cancer classification—0
Comparison-Based Random Forests—0
Comparison of 14 different families of classification algorithms on 115 binary datasets—0
Comparison of Attention-based Deep Learning Models for EEG Classification—0
Comparison of Batch Normalization and Weight Normalization Algorithms for the Large-scale Image Classification—0
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All datasetsXORirisActivityFashion-MNISTISOLETMice ProteinMNISTWine

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KNNAccuracy93.1—Unverified
2RFAccuracy92.96—Unverified
3CARTAccuracy92.82—Unverified
4LDAAccuracy77.22—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified
2XBNETAccuracy100—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy42—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy67.7—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy68.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy13.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CAEAccuracy90.6—Unverified
#ModelMetricClaimedVerifiedStatus
1MONT3Accuracy100—Unverified