uci dataset Search Results


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/statlog+uci+datasets/pm40414947-101-6-6
Average 90 stars, based on 1 article reviews
statlog uci datasets - by Bioz Stars, 2026-10
90/100 stars
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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/uci+statlog+dataset/pmc08494559-65-21-22
Average 90 stars, based on 1 article reviews
uci statlog dataset - by Bioz Stars, 2026-10
90/100 stars
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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/uci+repository+dataset+of/pmc09687844-124-1-5
Average 90 stars, based on 1 article reviews
uci repository dataset of - by Bioz Stars, 2026-10
90/100 stars
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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/dataset+uci/pmc12905728-70-2-5
Average 86 stars, based on 1 article reviews
uci dataset - by Bioz Stars, 2026-10
86/100 stars
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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/datasets+kaggle+uci/med_rxiv__2025__09__28__25336834-53-3-3
Average 86 stars, based on 1 article reviews
kaggle uci datasets - by Bioz Stars, 2026-10
86/100 stars
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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: