uci dataset Search Results


uci statlog dataset  (StatLog Inc)
90
StatLog Inc uci statlog dataset
Uci Statlog Dataset, supplied by StatLog Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/uci+dataset/pmc08494559-65-21-22?v=StatLog+Inc
Average 90 stars, based on 1 article reviews
uci statlog dataset - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
statlog uci datasets  (StatLog Inc)
90
StatLog Inc statlog uci datasets
Statlog Uci Datasets, supplied by StatLog Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/uci+dataset/pm40414947-101-6-6?v=StatLog+Inc
Average 90 stars, based on 1 article reviews
statlog uci datasets - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
uci repository dataset of  (StatLog Inc)
90
StatLog Inc uci repository dataset of
Uci Repository Dataset Of, supplied by StatLog Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/uci+dataset/pmc09687844-124-1-5?v=StatLog+Inc
Average 90 stars, based on 1 article reviews
uci repository dataset of - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier
uci dataset  (Kaggle Inc)
86
Kaggle Inc uci dataset
Shows the confusion matrices of XGB, DNN and the hybrid ensemble on the <t>UCI</t> <t>dataset.</t>
Uci Dataset, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/uci+dataset/pmc12905728-70-2-5?v=Kaggle+Inc
Average 86 stars, based on 1 article reviews
uci dataset - by Bioz Stars, 2026-07
86/100 stars
  Buy from Supplier
kaggle uci datasets  (Kaggle Inc)
86
Kaggle Inc kaggle uci datasets
Shows the confusion matrices of XGB, DNN and the hybrid ensemble on the <t>UCI</t> <t>dataset.</t>
Kaggle Uci Datasets, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/uci+dataset/med_rxiv__2025__09__28__25336834-53-3-3?v=Kaggle+Inc
Average 86 stars, based on 1 article reviews
kaggle uci datasets - by Bioz Stars, 2026-07
86/100 stars
  Buy from Supplier

Image Search Results


Shows the confusion matrices of XGB, DNN and the hybrid ensemble on the UCI dataset.

Journal: Healthcare Technology Letters

Article Title: A Hybrid Ensemble Approach for Early‐Stage Diabetes Detection

doi: 10.1049/htl2.70060

Figure Lengend Snippet: Shows the confusion matrices of XGB, DNN and the hybrid ensemble on the UCI dataset.

Article Snippet: The public UCI dataset from Kaggle, consisting of self‐reported early‐stage diabetes features [ ], was first used for model development.

Techniques:

Training dynamics of the models on the UCI dataset. DNN training and validation loss across epochs (left) and XGB (right).

Journal: Healthcare Technology Letters

Article Title: A Hybrid Ensemble Approach for Early‐Stage Diabetes Detection

doi: 10.1049/htl2.70060

Figure Lengend Snippet: Training dynamics of the models on the UCI dataset. DNN training and validation loss across epochs (left) and XGB (right).

Article Snippet: The public UCI dataset from Kaggle, consisting of self‐reported early‐stage diabetes features [ ], was first used for model development.

Techniques: Biomarker Discovery

Training and validation accuracy curves for the DNN and XGB models on the UCI dataset.

Journal: Healthcare Technology Letters

Article Title: A Hybrid Ensemble Approach for Early‐Stage Diabetes Detection

doi: 10.1049/htl2.70060

Figure Lengend Snippet: Training and validation accuracy curves for the DNN and XGB models on the UCI dataset.

Article Snippet: The public UCI dataset from Kaggle, consisting of self‐reported early‐stage diabetes features [ ], was first used for model development.

Techniques: Biomarker Discovery

Comparative evaluation of UCI dataset models: ROC curves with AUC (left) and precision recall curves (right) for XGB, DNN and ensemble.

Journal: Healthcare Technology Letters

Article Title: A Hybrid Ensemble Approach for Early‐Stage Diabetes Detection

doi: 10.1049/htl2.70060

Figure Lengend Snippet: Comparative evaluation of UCI dataset models: ROC curves with AUC (left) and precision recall curves (right) for XGB, DNN and ensemble.

Article Snippet: The public UCI dataset from Kaggle, consisting of self‐reported early‐stage diabetes features [ ], was first used for model development.

Techniques: