knn Search Results


naive bayes learner node  (KNIME GmbH)
90
KNIME GmbH naive bayes learner node
The performance of the different prediction models on T2D readmission
Naive Bayes Learner Node, supplied by KNIME GmbH, 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/result/naive bayes learner node/product/KNIME GmbH
Average 90 stars, based on 1 article reviews
naive bayes learner node - by Bioz Stars, 2026-06
90/100 stars
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gpu-fs-knn  (SourceForge net)
90
SourceForge net gpu-fs-knn
The performance of the different prediction models on T2D readmission
Gpu Fs Knn, supplied by SourceForge net, 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/result/gpu-fs-knn/product/SourceForge net
Average 90 stars, based on 1 article reviews
gpu-fs-knn - by Bioz Stars, 2026-06
90/100 stars
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knn decoder  (BioMimetic Therapeutics)
90
BioMimetic Therapeutics knn decoder
The performance of the different prediction models on T2D readmission
Knn Decoder, supplied by BioMimetic Therapeutics, 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/result/knn decoder/product/BioMimetic Therapeutics
Average 90 stars, based on 1 article reviews
knn decoder - by Bioz Stars, 2026-06
90/100 stars
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nearest neighbor (knn) imputation  (RStudio)
90
RStudio nearest neighbor (knn) imputation
The performance of the different prediction models on T2D readmission
Nearest Neighbor (Knn) Imputation, supplied by RStudio, 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/result/nearest neighbor (knn) imputation/product/RStudio
Average 90 stars, based on 1 article reviews
nearest neighbor (knn) imputation - by Bioz Stars, 2026-06
90/100 stars
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knn  (Ceram GmbH)
90
Ceram GmbH knn
The performance of the different prediction models on T2D readmission
Knn, supplied by Ceram GmbH, 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/result/knn/product/Ceram GmbH
Average 90 stars, based on 1 article reviews
knn - by Bioz Stars, 2026-06
90/100 stars
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knn-softmax classifier  (SoftMax Inc)
90
SoftMax Inc knn-softmax classifier
The performance of the different prediction models on T2D readmission
Knn Softmax Classifier, supplied by SoftMax 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/result/knn-softmax classifier/product/SoftMax Inc
Average 90 stars, based on 1 article reviews
knn-softmax classifier - by Bioz Stars, 2026-06
90/100 stars
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k nearest neighbour (knn) function  (RStudio)
90
RStudio k nearest neighbour (knn) function
The performance of the different prediction models on T2D readmission
K Nearest Neighbour (Knn) Function, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
k nearest neighbour (knn) function - by Bioz Stars, 2026-06
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knn  (StatLog Inc)
90
StatLog Inc knn
Comparison of the related literature on the different datasets.
Knn, 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/result/knn/product/StatLog Inc
Average 90 stars, based on 1 article reviews
knn - by Bioz Stars, 2026-06
90/100 stars
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knn method  (KNIME GmbH)
90
KNIME GmbH knn method
Comparison of the related literature on the different datasets.
Knn Method, supplied by KNIME GmbH, 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/result/knn method/product/KNIME GmbH
Average 90 stars, based on 1 article reviews
knn method - by Bioz Stars, 2026-06
90/100 stars
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tumopentoxmodel_knn_92  (IDEAconsult Ltd)
90
IDEAconsult Ltd tumopentoxmodel_knn_92
Comparison of the related literature on the different datasets.
Tumopentoxmodel Knn 92, supplied by IDEAconsult Ltd, 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/result/tumopentoxmodel_knn_92/product/IDEAconsult Ltd
Average 90 stars, based on 1 article reviews
tumopentoxmodel_knn_92 - by Bioz Stars, 2026-06
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knn-0.05bnz  (Ceram GmbH)
90
Ceram GmbH knn-0.05bnz
Comparison of the related literature on the different datasets.
Knn 0.05bnz, supplied by Ceram GmbH, 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/result/knn-0.05bnz/product/Ceram GmbH
Average 90 stars, based on 1 article reviews
knn-0.05bnz - by Bioz Stars, 2026-06
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k-nearest neighbor (knn)  (Rosalina Instruments)
90
Rosalina Instruments k-nearest neighbor (knn)
Comparison of the related literature on the different datasets.
K Nearest Neighbor (Knn), supplied by Rosalina Instruments, 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/result/k-nearest neighbor (knn)/product/Rosalina Instruments
Average 90 stars, based on 1 article reviews
k-nearest neighbor (knn) - by Bioz Stars, 2026-06
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Image Search Results


The performance of the different prediction models on T2D readmission

Journal: BMC Medical Informatics and Decision Making

Article Title: The 30-days hospital readmission risk in diabetic patients: predictive modeling with machine learning classifiers

doi: 10.1186/s12911-021-01423-y

Figure Lengend Snippet: The performance of the different prediction models on T2D readmission

Article Snippet: The NB classification model was built on the basis of given training data by the Naive Bayes Learner node in KNIME, which calculated the number of rows per attribute value per class for nominal attributes and the Gaussian distribution for numerical attributes.

Techniques:

Comparison of the related literature on the different datasets.

Journal: PeerJ Computer Science

Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

doi: 10.7717/peerj-cs.1917

Figure Lengend Snippet: Comparison of the related literature on the different datasets.

Article Snippet: Cleveland And Statlog , , KNN, SVM, RF, NB and NN , Using 6 features KNN 86%, SVM 83%, RF 91%, NB 87% and NN 86% , 2019.

Techniques: Comparison, Selection

Comparison of the related literature based on different datasets.

Journal: PeerJ Computer Science

Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

doi: 10.7717/peerj-cs.1917

Figure Lengend Snippet: Comparison of the related literature based on different datasets.

Article Snippet: Cleveland And Statlog , , KNN, SVM, RF, NB and NN , Using 6 features KNN 86%, SVM 83%, RF 91%, NB 87% and NN 86% , 2019.

Techniques: Comparison

Hyperparameters tuning of the classifiers using grid search CV.

Journal: PeerJ Computer Science

Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

doi: 10.7717/peerj-cs.1917

Figure Lengend Snippet: Hyperparameters tuning of the classifiers using grid search CV.

Article Snippet: Cleveland And Statlog , , KNN, SVM, RF, NB and NN , Using 6 features KNN 86%, SVM 83%, RF 91%, NB 87% and NN 86% , 2019.

Techniques: Activation Assay

Performance of the classifiers on the single and the combined dataset without applying the proposed preprocessing pipeline.

Journal: PeerJ Computer Science

Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

doi: 10.7717/peerj-cs.1917

Figure Lengend Snippet: Performance of the classifiers on the single and the combined dataset without applying the proposed preprocessing pipeline.

Article Snippet: Cleveland And Statlog , , KNN, SVM, RF, NB and NN , Using 6 features KNN 86%, SVM 83%, RF 91%, NB 87% and NN 86% , 2019.

Techniques:

Performance of the classifiers on different combinations of the datasets without applying the proposed pipeline.

Journal: PeerJ Computer Science

Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

doi: 10.7717/peerj-cs.1917

Figure Lengend Snippet: Performance of the classifiers on different combinations of the datasets without applying the proposed pipeline.

Article Snippet: Cleveland And Statlog , , KNN, SVM, RF, NB and NN , Using 6 features KNN 86%, SVM 83%, RF 91%, NB 87% and NN 86% , 2019.

Techniques:

Performance of the classifiers on the single and the combined dataset applying PCA on the proposed pipeline.

Journal: PeerJ Computer Science

Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

doi: 10.7717/peerj-cs.1917

Figure Lengend Snippet: Performance of the classifiers on the single and the combined dataset applying PCA on the proposed pipeline.

Article Snippet: Cleveland And Statlog , , KNN, SVM, RF, NB and NN , Using 6 features KNN 86%, SVM 83%, RF 91%, NB 87% and NN 86% , 2019.

Techniques:

Performance of the classifiers on different combinations of the datasets applying PCA on the proposed pipeline.

Journal: PeerJ Computer Science

Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

doi: 10.7717/peerj-cs.1917

Figure Lengend Snippet: Performance of the classifiers on different combinations of the datasets applying PCA on the proposed pipeline.

Article Snippet: Cleveland And Statlog , , KNN, SVM, RF, NB and NN , Using 6 features KNN 86%, SVM 83%, RF 91%, NB 87% and NN 86% , 2019.

Techniques:

Performance of the classifiers on the single and the combined dataset applying RF on the proposed pipeline.

Journal: PeerJ Computer Science

Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

doi: 10.7717/peerj-cs.1917

Figure Lengend Snippet: Performance of the classifiers on the single and the combined dataset applying RF on the proposed pipeline.

Article Snippet: Cleveland And Statlog , , KNN, SVM, RF, NB and NN , Using 6 features KNN 86%, SVM 83%, RF 91%, NB 87% and NN 86% , 2019.

Techniques:

Performance of the classifiers on different combinations of the datasets applying RF.

Journal: PeerJ Computer Science

Article Title: Performance discrepancy mitigation in heart disease prediction for multisensory inter-datasets

doi: 10.7717/peerj-cs.1917

Figure Lengend Snippet: Performance of the classifiers on different combinations of the datasets applying RF.

Article Snippet: Cleveland And Statlog , , KNN, SVM, RF, NB and NN , Using 6 features KNN 86%, SVM 83%, RF 91%, NB 87% and NN 86% , 2019.

Techniques: