10-fold cross-validation mean classification performance for AD against CN of multi-functional features at p-value = 0.05 with In-house cohort.

Cross validation performances of classification in ideal dataset situation (Evaluation 1).

Ryosuke O. Tachibana (540752)
Naoya Oosugi (540753)
Kazuo Okanoya (141103)

March 2014

The correct rates (%) were derived with systematically varying number of labels (L), number of sa...

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 comparison among various types of sequence features and methods for the across-germline prediction using 10-fold cross-validation.

Chyn Liaw (290346)
Chun-Wei Tung (52367)
Shinn-Ying Ho (52368)

February 2013

Performance comparison among various types of sequence features and methods for the across-germli...

10-fold cross-validation mean classification performance for MCI against CN of multi-functional features at p-value = 0.05 with In-house cohort.

Duc Thanh Nguyen (6393128)
Seungjun Ryu (6393131)
Muhammad Naveed Iqbal Qureshi (2921655)
Min Choi (1511851)
Kun Ho Lee (288984)
Boreom Lee (2921658)

February 2019

10-fold cross-validation mean classification performance for MCI against CN of multi-functional feat...

Leave-One-Out cross-validation mean classification performance for AD versus CN of multi-measure features at p-value = 0.05 with ADNI2 cohort.

Duc Thanh Nguyen (6393128)
Seungjun Ryu (6393131)
Muhammad Naveed Iqbal Qureshi (2921655)
Min Choi (1511851)
Kun Ho Lee (288984)
Boreom Lee (2921658)

February 2019

Leave-One-Out cross-validation mean classification performance for AD versus CN of multi-measure fea...

Leave-One-Out cross-validation mean classification performance for MCI against CN of multi-functional features at p-value = 0.05 with ADNI2 cohort.

Duc Thanh Nguyen (6393128)
Seungjun Ryu (6393131)
Muhammad Naveed Iqbal Qureshi (2921655)
Min Choi (1511851)
Kun Ho Lee (288984)
Boreom Lee (2921658)

February 2019

Leave-One-Out cross-validation mean classification performance for MCI against CN of multi-functiona...

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 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

Prediction performance of 10-fold cross-validation based on different encoding methods.

Yong-Zi Chen (158654)
Zhen Chen (129176)
Yu-Ai Gong (158656)
Guoguang Ying (158659)

June 2012

Prediction performance of 10-fold cross-validation based on different encoding methods.</p

5 fold cross-validation classification performance, stability calculated as the Average Normalized Hamming Distance (ANHD) and number of selected genes in the signatures of NAFLD progression from smoothed and raw data.

Itziar Frades (741552)
Erik Andreasson (741553)
Jose Maria Mato (741554)
Erik Alexandersson (741555)
Rune Matthiesen (223502)
Mª Luz Martínez-Chantar (741556)

May 2015

5 fold cross-validation classification performance, stability calculated as the Average Normalize...

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 of the classification methods, as a mean of the indicator on the 100 cross-validation iterations for the VEL, MLR, ANN and RF method.

Alexandra Maufroy (744850)
Emmanuel Chassot (405735)
Rocío Joo (5663557)
David Michael Kaplan (744851)

May 2015

For the MLR, ANN and RF methods, 95% confidence intervals of the difference between the indicator...

Comparison of classification performance (20 runs of 10-fold cross-validation) on 40 UCI datasets.

Gregor Stiglic (327658)
Simon Kocbek (327660)
Igor Pernek (327663)
Peter Kokol (327667)

February 2013

Comparison of classification performance (20 runs of 10-fold cross-validation) on 40 UCI datasets...

Classification performance with different features for representing images and different classifiers.

Oumayma Essid (5949599)
Hamid Laga (799120)
Chafik Samir (5949602)

November 2018

The best performances are indicated in bold (the lower the better). These results are obtained using...

Cross validation performances of classification in ideal dataset situation (Evaluation 1).

Ryosuke O. Tachibana (540752)
Naoya Oosugi (540753)
Kazuo Okanoya (141103)

March 2014

The correct rates (%) were derived with systematically varying number of labels (L), number of sa...

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 comparison among various types of sequence features and methods for the across-germline prediction using 10-fold cross-validation.

Chyn Liaw (290346)
Chun-Wei Tung (52367)
Shinn-Ying Ho (52368)

February 2013

Performance comparison among various types of sequence features and methods for the across-germli...

10-fold cross-validation mean classification performance for MCI against CN of multi-functional features at p-value = 0.05 with In-house cohort.

Duc Thanh Nguyen (6393128)
Seungjun Ryu (6393131)
Muhammad Naveed Iqbal Qureshi (2921655)
Min Choi (1511851)
Kun Ho Lee (288984)
Boreom Lee (2921658)

February 2019

10-fold cross-validation mean classification performance for MCI against CN of multi-functional feat...

Leave-One-Out cross-validation mean classification performance for AD versus CN of multi-measure features at p-value = 0.05 with ADNI2 cohort.

Duc Thanh Nguyen (6393128)
Seungjun Ryu (6393131)
Muhammad Naveed Iqbal Qureshi (2921655)
Min Choi (1511851)
Kun Ho Lee (288984)
Boreom Lee (2921658)

February 2019

Leave-One-Out cross-validation mean classification performance for AD versus CN of multi-measure fea...

Leave-One-Out cross-validation mean classification performance for MCI against CN of multi-functional features at p-value = 0.05 with ADNI2 cohort.

Duc Thanh Nguyen (6393128)
Seungjun Ryu (6393131)
Muhammad Naveed Iqbal Qureshi (2921655)
Min Choi (1511851)
Kun Ho Lee (288984)
Boreom Lee (2921658)

February 2019

Leave-One-Out cross-validation mean classification performance for MCI against CN of multi-functiona...

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 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

Prediction performance of 10-fold cross-validation based on different encoding methods.

Yong-Zi Chen (158654)
Zhen Chen (129176)
Yu-Ai Gong (158656)
Guoguang Ying (158659)

June 2012

Prediction performance of 10-fold cross-validation based on different encoding methods.</p

5 fold cross-validation classification performance, stability calculated as the Average Normalized Hamming Distance (ANHD) and number of selected genes in the signatures of NAFLD progression from smoothed and raw data.

Itziar Frades (741552)
Erik Andreasson (741553)
Jose Maria Mato (741554)
Erik Alexandersson (741555)
Rune Matthiesen (223502)
Mª Luz Martínez-Chantar (741556)

May 2015

5 fold cross-validation classification performance, stability calculated as the Average Normalize...

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 of the classification methods, as a mean of the indicator on the 100 cross-validation iterations for the VEL, MLR, ANN and RF method.

Alexandra Maufroy (744850)
Emmanuel Chassot (405735)
Rocío Joo (5663557)
David Michael Kaplan (744851)

May 2015

For the MLR, ANN and RF methods, 95% confidence intervals of the difference between the indicator...

Comparison of classification performance (20 runs of 10-fold cross-validation) on 40 UCI datasets.

Gregor Stiglic (327658)
Simon Kocbek (327660)
Igor Pernek (327663)
Peter Kokol (327667)

February 2013

Comparison of classification performance (20 runs of 10-fold cross-validation) on 40 UCI datasets...

Classification performance with different features for representing images and different classifiers.

Oumayma Essid (5949599)
Hamid Laga (799120)
Chafik Samir (5949602)

November 2018

The best performances are indicated in bold (the lower the better). These results are obtained using...

Cross validation performances of classification in ideal dataset situation (Evaluation 1).

Ryosuke O. Tachibana (540752)
Naoya Oosugi (540753)
Kazuo Okanoya (141103)

March 2014

The correct rates (%) were derived with systematically varying number of labels (L), number of sa...

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 comparison among various types of sequence features and methods for the across-germline prediction using 10-fold cross-validation.

Chyn Liaw (290346)
Chun-Wei Tung (52367)
Shinn-Ying Ho (52368)

February 2013

Performance comparison among various types of sequence features and methods for the across-germli...

10-fold cross-validation mean classification performance for AD against CN of multi-functional features at p-value = 0.05 with In-house cohort.

Abstract

Extracted data

10-fold cross-validation mean classification performance for AD against CN of multi-functional features at p-value = 0.05 with In-house cohort.

Abstract

Extracted data

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