Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/XGBoost

XGBoost

Reported on 72 benchmarks across 12 tasks · 5 papers · 31 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical47 results

Drug Discoveryontdcommons
TDC.AMES· 2022-04-15
0.859
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Drug Discoveryontdcommons
TDC.BBB_Martins· 2022-04-15
0.905
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Drug Discoveryontdcommons
TDC.Bioavailability_Ma· 2022-04-15
0.7
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Drug Discoveryontdcommons
TDC.CYP2C9_Inhibition_Veith· 2022-04-15
0.877
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Drug Discoveryontdcommons
TDC.CYP2C9_Substrate_CarbonMangels· 2022-04-15
0.68
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Drug Discoveryontdcommons
TDC.CYP2D6_Inhibition_Veith· 2022-04-15
0.794
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Drug Discoveryontdcommons
TDC.CYP3A4_Substrate_CarbonMangels· 2022-04-15
0.648
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Drug Discoveryontdcommons
TDC.Clearance_Hepatocyte_AZ· 2022-04-15
0.587
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Drug Discoveryontdcommons
TDC.DILI· 2022-04-15
0.933
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Drug Discoveryontdcommons
TDC.HIA_Hou· 2022-04-15
0.987
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Drug Discoveryontdcommons
TDC.Half_Life_Obach· 2022-04-15
0.396
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Drug Discoveryontdcommons
TDC.VDss_Lombardo· 2022-04-15
0.612
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Atomistic DescriptiononBBBP
ROC-AUC· 2022-04-15
90.5
best: 96.4 (DumplingGNN)
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.AMES· 2022-04-15
0.859
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.BBB_Martins· 2022-04-15
0.905
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.Bioavailability_Ma· 2022-04-15
0.7
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.CYP2C9_Inhibition_Veith· 2022-04-15
0.877
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.CYP2C9_Substrate_CarbonMangels· 2022-04-15
0.68
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.CYP2D6_Inhibition_Veith· 2022-04-15
0.794
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.CYP3A4_Substrate_CarbonMangels· 2022-04-15
0.648
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.Clearance_Hepatocyte_AZ· 2022-04-15
0.587
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.DILI· 2022-04-15
0.933
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.HIA_Hou· 2022-04-15
0.987
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.Half_Life_Obach· 2022-04-15
0.396
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.VDss_Lombardo· 2022-04-15
0.612
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Document Text ClassificationonPersian Twitter
Average Recall· uses extra data· 2017-03-02
0.99
SOTA
MoleculeNet: A Benchmark for Molecular Machine Learning arXiv:1703.00564
Atomistic DescriptiononESOL
RMSE· 2017-03-02
0.99
best: 0.58 (MPNN)
SOTA
MoleculeNet: A Benchmark for Molecular Machine Learning arXiv:1703.00564
Drug Discoveryontdcommons
TDC.CYP2D6_Substrate_CarbonMangels· 2022-04-15
0.387
best: 0.704 (AttrMasking)
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Drug Discoveryontdcommons
TDC.CYP3A4_Inhibition_Veith· 2022-04-15
0.721
best: 0.902 (AttrMasking)
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Drug Discoveryontdcommons
TDC.Caco2_Wang· 2022-04-15
0.288
best: 0.599 (GCN)
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Drug Discoveryontdcommons
TDC.Clearance_Microsome_AZ· 2022-04-15
0.42
best: 0.586 (MLP-RDKit2D)
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Drug Discoveryontdcommons
TDC.LD50_Zhu· 2022-04-15
0.602
best: 0.685 (AttrMasking)
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Drug Discoveryontdcommons
TDC.Lipophilicity_AstraZeneca· 2022-04-15
0.533
best: 0.574 (MLP-RDKit2D)
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Drug Discoveryontdcommons
TDC.PPBR_AZ· 2022-04-15
8.251
best: 10.194 (GCN)
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Drug Discoveryontdcommons
TDC.Pgp_Broccatelli· 2022-04-15
0.911
best: 0.929 (AttrMasking)
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Drug Discoveryontdcommons
TDC.Solubility_AqSolDB· 2022-04-15
0.727
best: 1.026 (AttrMasking)
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Drug Discoveryontdcommons
TDC.hERG· 2022-04-15
0.806
best: 0.841 (MLP-RDKit2D)
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.CYP2D6_Substrate_CarbonMangels· 2022-04-15
0.387
best: 0.704 (AttrMasking)
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.CYP3A4_Inhibition_Veith· 2022-04-15
0.721
best: 0.902 (AttrMasking)
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.Caco2_Wang· 2022-04-15
0.288
best: 0.599 (GCN)
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.Clearance_Microsome_AZ· 2022-04-15
0.42
best: 0.586 (MLP-RDKit2D)
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.LD50_Zhu· 2022-04-15
0.602
best: 0.685 (AttrMasking)
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.Lipophilicity_AstraZeneca· 2022-04-15
0.533
best: 0.574 (MLP-RDKit2D)
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.PPBR_AZ· 2022-04-15
8.251
best: 10.194 (GCN)
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.Pgp_Broccatelli· 2022-04-15
0.911
best: 0.929 (AttrMasking)
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.Solubility_AqSolDB· 2022-04-15
0.727
best: 1.026 (AttrMasking)
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Therapeutics Data Commonsontdcommons
TDC.hERG· 2022-04-15
0.806
best: 0.841 (MLP-RDKit2D)
Accurate ADMET Prediction with XGBoost arXiv:2204.07532

Methodology14 results

Molecular Property PredictiononBBBP
ROC-AUC· 2022-04-15
90.5
best: 96.4 (DumplingGNN)
SOTA
Accurate ADMET Prediction with XGBoost arXiv:2204.07532
Molecular Property PredictiononESOL
RMSE· 2017-03-02
0.99
best: 0.58 (MPNN)
SOTA
MoleculeNet: A Benchmark for Molecular Machine Learning arXiv:1703.00564
Multi-Label Text ClassificationonMVICTOR (theme)
Average F1
0.8882
Multi-Label Text ClassificationonMVICTOR (theme)
Weighted F1
0.9072
Multi-Label Text ClassificationonSVICTOR (theme)
Average F1
0.8887
Multi-Label Text ClassificationonSVICTOR (theme)
Weighted F1
0.8634
Multi-Label Text ClassificationonBVICTOR
Average F1
0.8843
Multi-Label Text ClassificationonBVICTOR
Weighted F1
0.8957
ClassificationonMVICTOR (theme)
Average F1
0.8882
ClassificationonMVICTOR (theme)
Weighted F1
0.9072
ClassificationonSVICTOR (theme)
Average F1
0.8887
ClassificationonSVICTOR (theme)
Weighted F1
0.8634
ClassificationonBVICTOR
Average F1
0.8843
ClassificationonBVICTOR
Weighted F1
0.8957

Natural Language Processing10 results

Binary ClassificationonTII-SSRC-23
F1-Score· 2023-09-14
98.79
SOTA
TII-SSRC-23 Dataset: Typological Exploration of Diverse Traffic Patterns for Intrusion Detection arXiv:2310.10661
Humor Detectionon200k Short Texts for Humor Detection
F1-score· 2016-03-09
0.813
best: 0.982 (ColBERT model)
SOTA
XGBoost: A Scalable Tree Boosting System arXiv:1603.02754
Text ClassificationonMVICTOR (theme)
Average F1
0.8882
Text ClassificationonMVICTOR (theme)
Weighted F1
0.9072
Text ClassificationonSVICTOR (theme)
Average F1
0.8887
Text ClassificationonSVICTOR (theme)
Weighted F1
0.8634
Text ClassificationonBVICTOR
Average F1
0.8843
Text ClassificationonBVICTOR
Weighted F1
0.8957
Counterspeech DetectiononYoutube counterspeech dataset
F1 score
0.715
Binary ClassificationonCBIS-DDSM
AUC
0.6849
best: 0.8483 (EfficientNet-B0 w/ TTA)

Graphs1 result

Graph RegressiononLipophilicity
RMSE· 2019-06-25
0.799
best: 0.58 (ProtoS-L2)
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective arXiv:1906.11081