classification learner tool in Search Results


classification learner machine learning tool  (MathWorks Inc)
90
MathWorks Inc classification learner machine learning tool
(a) Comparison of mean accuracy with standard deviations for the different <t>machine</t> <t>learning</t> <t>classification</t> methods, along with best performing subclass. Confusion matrix plots generated from a single 10 fold cross-validation run using the cubic support vector machine subclass with (b) stomach separated out into fundus, body, and antrum and (c) fundus, body, and antrum aggregated together as stomach prior to comparison to other tissues.
Classification Learner Machine Learning Tool, supplied by MathWorks 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/classification learner machine learning tool/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
classification learner machine learning tool - by Bioz Stars, 2026-03
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classification learner tool  (MathWorks Inc)
90
MathWorks Inc classification learner tool
(a) Comparison of mean accuracy with standard deviations for the different <t>machine</t> <t>learning</t> <t>classification</t> methods, along with best performing subclass. Confusion matrix plots generated from a single 10 fold cross-validation run using the cubic support vector machine subclass with (b) stomach separated out into fundus, body, and antrum and (c) fundus, body, and antrum aggregated together as stomach prior to comparison to other tissues.
Classification Learner Tool, supplied by MathWorks 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/classification learner tool/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
classification learner tool - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
2022b software classification learner toolbox  (MathWorks Inc)
90
MathWorks Inc 2022b software classification learner toolbox
(a) Comparison of mean accuracy with standard deviations for the different <t>machine</t> <t>learning</t> <t>classification</t> methods, along with best performing subclass. Confusion matrix plots generated from a single 10 fold cross-validation run using the cubic support vector machine subclass with (b) stomach separated out into fundus, body, and antrum and (c) fundus, body, and antrum aggregated together as stomach prior to comparison to other tissues.
2022b Software Classification Learner Toolbox, supplied by MathWorks 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/2022b software classification learner toolbox/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
2022b software classification learner toolbox - by Bioz Stars, 2026-03
90/100 stars
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classifiers matlab 2017 classification learner tool box  (MathWorks Inc)
90
MathWorks Inc classifiers matlab 2017 classification learner tool box
Diagnostic performance evaluation of the proposed CAD system using different machine learning classifiers provided by the <t> MATLAB </t> <t> 2017 Tool Box </t> such that Acc: accuracy, Sens: sensitivity, Spec: specificity, and AUC: area under the curve.
Classifiers Matlab 2017 Classification Learner Tool Box, supplied by MathWorks 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/classifiers matlab 2017 classification learner tool box/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
classifiers matlab 2017 classification learner tool box - by Bioz Stars, 2026-03
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classification learner tool a1  (MathWorks Inc)
90
MathWorks Inc classification learner tool a1
Diagnostic performance evaluation of the proposed CAD system using different machine learning classifiers provided by the <t> MATLAB </t> <t> 2017 Tool Box </t> such that Acc: accuracy, Sens: sensitivity, Spec: specificity, and AUC: area under the curve.
Classification Learner Tool A1, supplied by MathWorks 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/classification learner tool a1/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
classification learner tool a1 - by Bioz Stars, 2026-03
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r2021b classification learner tool  (MathWorks Inc)
90
MathWorks Inc r2021b classification learner tool
Diagnostic performance evaluation of the proposed CAD system using different machine learning classifiers provided by the <t> MATLAB </t> <t> 2017 Tool Box </t> such that Acc: accuracy, Sens: sensitivity, Spec: specificity, and AUC: area under the curve.
R2021b Classification Learner Tool, supplied by MathWorks 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/r2021b classification learner tool/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
r2021b classification learner tool - by Bioz Stars, 2026-03
90/100 stars
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matlab classification learner  (MathWorks Inc)
93
MathWorks Inc matlab classification learner
Diagnostic performance evaluation of the proposed CAD system using different machine learning classifiers provided by the <t> MATLAB </t> <t> 2017 Tool Box </t> such that Acc: accuracy, Sens: sensitivity, Spec: specificity, and AUC: area under the curve.
Matlab Classification Learner, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/matlab classification learner/product/MathWorks Inc
Average 93 stars, based on 1 article reviews
matlab classification learner - by Bioz Stars, 2026-03
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classification learner tool matlab r2021a  (MathWorks Inc)
90
MathWorks Inc classification learner tool matlab r2021a
Diagnostic performance evaluation of the proposed CAD system using different machine learning classifiers provided by the <t> MATLAB </t> <t> 2017 Tool Box </t> such that Acc: accuracy, Sens: sensitivity, Spec: specificity, and AUC: area under the curve.
Classification Learner Tool Matlab R2021a, supplied by MathWorks 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/classification learner tool matlab r2021a/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
classification learner tool matlab r2021a - by Bioz Stars, 2026-03
90/100 stars
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classification learner r2022b software  (MathWorks Inc)
90
MathWorks Inc classification learner r2022b software
Diagnostic performance evaluation of the proposed CAD system using different machine learning classifiers provided by the <t> MATLAB </t> <t> 2017 Tool Box </t> such that Acc: accuracy, Sens: sensitivity, Spec: specificity, and AUC: area under the curve.
Classification Learner R2022b Software, supplied by MathWorks 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/classification learner r2022b software/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
classification learner r2022b software - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

Image Search Results


(a) Comparison of mean accuracy with standard deviations for the different machine learning classification methods, along with best performing subclass. Confusion matrix plots generated from a single 10 fold cross-validation run using the cubic support vector machine subclass with (b) stomach separated out into fundus, body, and antrum and (c) fundus, body, and antrum aggregated together as stomach prior to comparison to other tissues.

Journal: Journal of Electrical Bioimpedance

Article Title: Electrical Impedance Characterization of in Vivo Porcine Tissue Using Machine Learning

doi: 10.2478/joeb-2021-0005

Figure Lengend Snippet: (a) Comparison of mean accuracy with standard deviations for the different machine learning classification methods, along with best performing subclass. Confusion matrix plots generated from a single 10 fold cross-validation run using the cubic support vector machine subclass with (b) stomach separated out into fundus, body, and antrum and (c) fundus, body, and antrum aggregated together as stomach prior to comparison to other tissues.

Article Snippet: The validity of utilizing impedance for tissue differentiation was evaluated using the MATLAB classification learner machine learning tool.

Techniques: Comparison, Generated, Biomarker Discovery, Plasmid Preparation

Diagnostic performance evaluation of the proposed CAD system using different machine learning classifiers provided by the MATLAB 2017 Tool Box such that Acc: accuracy, Sens: sensitivity, Spec: specificity, and AUC: area under the curve.

Journal: Proceedings. International Conference on Image Processing

Article Title: EARLY ASSESSMENT OF RENAL TRANSPLANTS USING BOLD-MRI: PROMISING RESULTS

doi: 10.1109/ICIP.2019.8803042

Figure Lengend Snippet: Diagnostic performance evaluation of the proposed CAD system using different machine learning classifiers provided by the MATLAB 2017 Tool Box such that Acc: accuracy, Sens: sensitivity, Spec: specificity, and AUC: area under the curve.

Article Snippet: The matrix of global features of size 15 × 4 of mean R2* values at 7, 12, 17, and 22 ms were used with a LOOCV approach to train and test 8 different classifiers provided by MATLAB 2017 classification learner Tool Box (random forest (RF), linear discriminant analysis (LDA), logistic regression (logR), quadratic SVM (SVM Quad ), cubic SVM (SVM Cub ), radial basis function SVM ((SVM RBF ), ensemble bagged trees (EBT), and ANNs).

Techniques: Diagnostic Assay