Model performances for models trained on all features restricted to tp0, tp1, tp2, tp0 + tp1 and all timepoints using 5-fold cross-validation.

Diagnostic ability of the LR, SVM, and MLP models in the cross-validation set.

Fernando Vaquerizo-Villar (6061574)
Daniel Álvarez (4621249)
Leila Kheirandish-Gozal (439618)
Gonzalo C. Gutiérrez-Tobal (4621231)
Verónica Barroso-García (6061577)
Andrea Crespo (4621243)
Félix del Campo (4621240)
David Gozal (306326)
Roberto Hornero (4621234)

December 2018

Diagnostic ability of the LR, SVM, and MLP models in the cross-validation set.</p

Cross-validated performance estimates for single-source and multi-source models.

Igor O. Korolev (2266951)
Laura L. Symonds (2266945)
Andrea C. Bozoki (2266948)

February 2016

Cross-validated performance estimates for single-source and multi-source models.</p

Critical performance metrics for each models and cross validation set (standard deviation shown in parenthesis, were available).

Ian van der Linde (5870609)
Peter Bright (5791331)

October 2018

Critical performance metrics for each models and cross validation set (standard deviation shown in p...

Performance of different models on PF2095 dataset using 10-fold cross-validation method.

Wafa Alameen Alsanousi (13920075)
Nosiba Yousif Ahmed (13920078)
Eman Mohammed Hamid (13920081)
Murtada K. Elbashir (11886429)
Mohamed Elhafiz M. Musa (13920084)
Jianxin Wang (35827)
Noman Khan (13920087)
Afnan (13920090)

October 2022

Performance of different models on PF2095 dataset using 10-fold cross-validation method.</p

Performance of different models on PF4204 dataset using 10-fold cross-validation method.

Wafa Alameen Alsanousi (13920075)
Nosiba Yousif Ahmed (13920078)
Eman Mohammed Hamid (13920081)
Murtada K. Elbashir (11886429)
Mohamed Elhafiz M. Musa (13920084)
Jianxin Wang (35827)
Noman Khan (13920087)
Afnan (13920090)

October 2022

Performance of different models on PF4204 dataset using 10-fold cross-validation method.</p

Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for prediction.

Zhila Esna Ashari (5194481)
Kelly A. Brayton (112912)
Shira L. Broschat (167647)

January 2019

Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for predictio...

Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cross validation.

Lina Zhang (112887)
Chengjin Zhang (548663)
Rui Gao (247606)
Runtao Yang (697712)
Qing Song (77132)

September 2016

Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...

Performance of different modules on training sets using 5-fold cross-validation.

Zheng Jiang (282949)
Yue-Yue Shen (16943042)
Rong Liu (202610)

September 2023

Performance of different modules on training sets using 5-fold cross-validation.</p

The prediction performance of the final model using 18 features, by 10-fold cross validation.

Yang Shu (528866)
Ning Zhang (23771)
Xiangyin Kong (48989)
Tao Huang (110613)
Yu-Dong Cai (133116)

October 2014

The prediction performance of the final model using 18 features, by 10-fold cross validation.</p

Performance metrics for spatial and linear models from 10-fold cross-validation simulations.

Dylan M. Young (5728157)
Lauren E. Parry (5728160)
Duncan Lee (3123474)
Surajit Ray (83793)

September 2018

Performance metrics for spatial and linear models from 10-fold cross-validation simulations.</p

Model performances for models trained on ADC, DCE(GLCM), DWI(GLCM), their combinations, all non-imaging data, and the combination of all MRI and all non-MRI data with 5-fold cross-validation.

Aaquib Syed (14439341)
Richard Adam (14439344)
Thomas Ren (14341490)
Jinyu Lu (10698936)
Takouhie Maldjian (14439347)
Tim Q. Duong (9179067)

January 2023

Model performances for models trained on ADC, DCE(GLCM), DWI(GLCM), their combinations, all non-imag...

Model training, validation and testing pipeline.

Daniel Zeiberg (6524330)
Tejas Prahlad (6524333)
Brahmajee K. Nallamothu (664327)
Theodore J. Iwashyna (570213)
Jenna Wiens (6524336)
Michael W. Sjoding (6524339)

March 2019

The data was split temporally into a training/validation dataset (2016) and testing dataset (2017). ...

Titer learning curve as the function of size of training data set.

Tolutola Oyetunde (3173367)
Di Liu (30843)
Hector Garcia Martin (4422019)
Yinjie J. Tang (185522)

January 2019

The training scores (R2) and cross validation (CV) scores (also R2) are shown. Below 800 training ex...

In the “Nested cross-validation” approach, first (outer) cross-validation is performed to estimate predictability of the data.

Kristjan Korjus (3088494)
Martin N. Hebart (3088497)
Raul Vicente (3088500)

August 2016

In each iteration, data are divided into training and test sets. Before training, another (inner)...

Exemplar of model validation stage.

Thomas W. Kelsey (254095)
Lucy Q. Li (641265)
Rod T. Mitchell (164314)
Ashley Whelan (641266)
Richard A. Anderson (64013)
W. Hamish B. Wallace (254093)

October 2014

High test and training errors represent underfit (i.e. insufficient model parameters to accuratel...

Diagnostic ability of the LR, SVM, and MLP models in the cross-validation set.

Fernando Vaquerizo-Villar (6061574)
Daniel Álvarez (4621249)
Leila Kheirandish-Gozal (439618)
Gonzalo C. Gutiérrez-Tobal (4621231)
Verónica Barroso-García (6061577)
Andrea Crespo (4621243)
Félix del Campo (4621240)
David Gozal (306326)
Roberto Hornero (4621234)

December 2018

Diagnostic ability of the LR, SVM, and MLP models in the cross-validation set.</p

Cross-validated performance estimates for single-source and multi-source models.

Igor O. Korolev (2266951)
Laura L. Symonds (2266945)
Andrea C. Bozoki (2266948)

February 2016

Cross-validated performance estimates for single-source and multi-source models.</p

Critical performance metrics for each models and cross validation set (standard deviation shown in parenthesis, were available).

Ian van der Linde (5870609)
Peter Bright (5791331)

October 2018

Critical performance metrics for each models and cross validation set (standard deviation shown in p...

Performance of different models on PF2095 dataset using 10-fold cross-validation method.

Wafa Alameen Alsanousi (13920075)
Nosiba Yousif Ahmed (13920078)
Eman Mohammed Hamid (13920081)
Murtada K. Elbashir (11886429)
Mohamed Elhafiz M. Musa (13920084)
Jianxin Wang (35827)
Noman Khan (13920087)
Afnan (13920090)

October 2022

Performance of different models on PF2095 dataset using 10-fold cross-validation method.</p

Performance of different models on PF4204 dataset using 10-fold cross-validation method.

Wafa Alameen Alsanousi (13920075)
Nosiba Yousif Ahmed (13920078)
Eman Mohammed Hamid (13920081)
Murtada K. Elbashir (11886429)
Mohamed Elhafiz M. Musa (13920084)
Jianxin Wang (35827)
Noman Khan (13920087)
Afnan (13920090)

October 2022

Performance of different models on PF4204 dataset using 10-fold cross-validation method.</p

Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for prediction.

Zhila Esna Ashari (5194481)
Kelly A. Brayton (112912)
Shira L. Broschat (167647)

January 2019

Accuracy measures for 10-fold cross-validation of Model 1 using the entire feature set for predictio...

Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cross validation.

Lina Zhang (112887)
Chengjin Zhang (548663)
Rui Gao (247606)
Runtao Yang (697712)
Qing Song (77132)

September 2016

Performance comparisons of multiple individual classifiers on the training dataset by 10-fold cro...

Performance of different modules on training sets using 5-fold cross-validation.

Zheng Jiang (282949)
Yue-Yue Shen (16943042)
Rong Liu (202610)

September 2023

Performance of different modules on training sets using 5-fold cross-validation.</p

The prediction performance of the final model using 18 features, by 10-fold cross validation.

Yang Shu (528866)
Ning Zhang (23771)
Xiangyin Kong (48989)
Tao Huang (110613)
Yu-Dong Cai (133116)

October 2014

The prediction performance of the final model using 18 features, by 10-fold cross validation.</p

Performance metrics for spatial and linear models from 10-fold cross-validation simulations.

Dylan M. Young (5728157)
Lauren E. Parry (5728160)
Duncan Lee (3123474)
Surajit Ray (83793)

September 2018

Performance metrics for spatial and linear models from 10-fold cross-validation simulations.</p

Model performances for models trained on ADC, DCE(GLCM), DWI(GLCM), their combinations, all non-imaging data, and the combination of all MRI and all non-MRI data with 5-fold cross-validation.

Aaquib Syed (14439341)
Richard Adam (14439344)
Thomas Ren (14341490)
Jinyu Lu (10698936)
Takouhie Maldjian (14439347)
Tim Q. Duong (9179067)

January 2023

Model performances for models trained on ADC, DCE(GLCM), DWI(GLCM), their combinations, all non-imag...

Model training, validation and testing pipeline.

Daniel Zeiberg (6524330)
Tejas Prahlad (6524333)
Brahmajee K. Nallamothu (664327)
Theodore J. Iwashyna (570213)
Jenna Wiens (6524336)
Michael W. Sjoding (6524339)

March 2019

The data was split temporally into a training/validation dataset (2016) and testing dataset (2017). ...

Titer learning curve as the function of size of training data set.

Tolutola Oyetunde (3173367)
Di Liu (30843)
Hector Garcia Martin (4422019)
Yinjie J. Tang (185522)

January 2019

The training scores (R2) and cross validation (CV) scores (also R2) are shown. Below 800 training ex...

In the “Nested cross-validation” approach, first (outer) cross-validation is performed to estimate predictability of the data.

Kristjan Korjus (3088494)
Martin N. Hebart (3088497)
Raul Vicente (3088500)

August 2016

In each iteration, data are divided into training and test sets. Before training, another (inner)...

Exemplar of model validation stage.

Thomas W. Kelsey (254095)
Lucy Q. Li (641265)
Rod T. Mitchell (164314)
Ashley Whelan (641266)
Richard A. Anderson (64013)
W. Hamish B. Wallace (254093)

October 2014

High test and training errors represent underfit (i.e. insufficient model parameters to accuratel...

Diagnostic ability of the LR, SVM, and MLP models in the cross-validation set.

Fernando Vaquerizo-Villar (6061574)
Daniel Álvarez (4621249)
Leila Kheirandish-Gozal (439618)
Gonzalo C. Gutiérrez-Tobal (4621231)
Verónica Barroso-García (6061577)
Andrea Crespo (4621243)
Félix del Campo (4621240)
David Gozal (306326)
Roberto Hornero (4621234)

December 2018

Diagnostic ability of the LR, SVM, and MLP models in the cross-validation set.</p

Cross-validated performance estimates for single-source and multi-source models.

Igor O. Korolev (2266951)
Laura L. Symonds (2266945)
Andrea C. Bozoki (2266948)

February 2016

Cross-validated performance estimates for single-source and multi-source models.</p

Critical performance metrics for each models and cross validation set (standard deviation shown in parenthesis, were available).

Ian van der Linde (5870609)
Peter Bright (5791331)

October 2018

Critical performance metrics for each models and cross validation set (standard deviation shown in p...

Model performances for models trained on all features restricted to tp0, tp1, tp2, tp0 + tp1 and all timepoints using 5-fold cross-validation.

Abstract

Extracted data

Model performances for models trained on all features restricted to tp0, tp1, tp2, tp0 + tp1 and all timepoints using 5-fold cross-validation.

Abstract

Extracted data

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