Cross validation ROC AUC scores for each organism from both in-species and cross species SSL models.

The ROC curve for leave-one-out cross validation and the AUC of our algorithm is 0.7645.

Ming-Xi Liu (140293)
Xing Chen (140292)
Geng Chen (194556)
Qing-Hua Cui (140294)
Gui-Ying Yan (140295)

January 2014

The ROC curve for leave-one-out cross validation and the AUC of our algorithm is 0.7645.</p

Comparison of AUROC values under the 5-Fold cross-validation on four datasets in groups AB and EF.

Hakimeh Khojasteh (16748091)
Jamshid Pirgazi (5508737)
Ali Ghanbari Sorkhi (16748094)

August 2023

Comparison of AUROC values under the 5-Fold cross-validation on four datasets in groups AB and EF.</...

ROC curve for the best classification models resulting from the LOO validation (ranking based on the AUC obtained for each classifier).

Diana de la Iglesia (649447)
Miguel García-Remesal (649448)
Alberto Anguita (649449)
Miguel Muñoz-Mármol (649450)
Casimir Kulikowski (649451)
Víctor Maojo (649452)

October 2014

ROC curve for the best classification models resulting from the LOO validation (ranking based on ...

Cross-species ROC AUC scores for each models classification performance on our human SSL interaction validation set.

Graeme Benstead-Hume (3566114)
Xiangrong Chen (697789)
Suzanna R. Hopkins (6597443)
Karen A. Lane (6597446)
Jessica A. Downs (332831)
Frances M. G. Pearl (6597449)

April 2019

An additional curve for our consensus predictions was added separately based on the performance of t...

5 × 5-fold cross-validation results: Mean ROC curves and AUC scores (95% C.I.).

Julia Diaz-Escobar (11272958)
Nelson E. Ordóñez-Guillén (11272961)
Salvador Villarreal-Reyes (7203815)
Alejandro Galaviz-Mosqueda (11272964)
Vitaly Kober (11272967)
Raúl Rivera-Rodriguez (11272970)
Jose E. Lozano Rizk (11272973)

August 2021

5 × 5-fold cross-validation results: Mean ROC curves and AUC scores (95% C.I.).</p

5 × 5-fold cross-validation results: ACC, BACC, and AUC-ROC ACC, BACC, and AUC-ROC scores boxplots.

Julia Diaz-Escobar (11272958)
Nelson E. Ordóñez-Guillén (11272961)
Salvador Villarreal-Reyes (7203815)
Alejandro Galaviz-Mosqueda (11272964)
Vitaly Kober (11272967)
Raúl Rivera-Rodriguez (11272970)
Jose E. Lozano Rizk (11272973)

August 2021

Box extends from the Q1 to Q3 quartile values of the data, with a line at the median and a triangle ...

AUC scores of the models built with different topological features.

Qifan Kuang (624438)
MinQi Wang (624439)
Rong Li (72042)
YongCheng Dong (5660449)
Yizhou Li (226344)
Menglong Li (226358)

September 2014

Determined from ten-fold cross validation experiments. The AUC scores are normalized to 100.<...

Summary of model performances (cross-validation AUC) for models with (A) topological variables excluded and (B) topological variables included contrasting 13 modelled species (for abbreviations see Table 1), five distance classes and two variable datasets (MV: measured variables, AV: assessment scores).

Johannes Radinger (2911214)
Christian Wolter (153342)
Jochem Kail (505659)

November 2015

Summary of model performances (cross-validation AUC) for models with (A) topological variables ex...

Cross-validation of the immunogenicity model.

Jorg J. A. Calis (179991)
Matt Maybeno (142804)
Jason A. Greenbaum (250956)
Daniela Weiskopf (476163)
Aruna D. De Silva (476164)
Alessandro Sette (19132)
Can Keşmir (34541)
Bjoern Peters (19131)

October 2013

Two-thirds of the data were used for making the immunogenicity model (see <a href="http://www.plo...

Receiver Operating Characteristic (ROC) curve for 10 fold cross-validation.

Yalda Zare (522034)
George E. Shook (522035)
Michael T. Collins (203973)
Brian W. Kirkpatrick (522036)

February 2014

A) Discovery data (32,587 SNPs) B) Combined data (32,375 SNPs). Ten sets of training and testing ...

Cross validation results.

Peng Wang (34436)
Shangwei Ning (104422)
Qianghu Wang (104424)
Ronghong Li (104426)
Jingrun Ye (104427)
Zuxianglan Zhao (104428)
Yan Li (23143)
Teng Huang (104429)
Xia Li (14984)

January 2013

(A) ROC curves based on the three orthogonal ontologies of GO. The maximum AUC score was 0.71 whe...

The ROC curves of 10-fold cross-validation test and the independent dataset test respectivley.

Xiaojiao Yang (504403)
Yanzhi Guo (347654)
Jiesi Luo (504404)
Xuemei Pu (504405)
Menglong Li (226358)

December 2013

The model gives a high receiver operating curve (AUC) of 0.9277 for the training set and 0.9900 f...

Prediction accuracies of LASSO models as measured by AUCs.

Iksoo Huh (800266)
Isabel Mendizabal (233342)
Taesung Park (4438)
Soojin V. Yi (77355)

October 2018

(A) ROC curves of the human same-prediction result from ten-fold cross validation. Solid lines repre...

AUPR scores of the models built with different topological features.

Qifan Kuang (624438)
MinQi Wang (624439)
Rong Li (72042)
YongCheng Dong (5660449)
Yizhou Li (226344)
Menglong Li (226358)

September 2014

Determined from ten-fold cross validation experiments. The AUPR scores are normalized to 100....

migariane/cvAUROC: Cross-validated AUC for Stata users

Fernandez, Miguel Angel Luque

March 2019

Receiver operating characteristic (ROC) analysis is used for comparing predictive models, both in mo...

The ROC curve for leave-one-out cross validation and the AUC of our algorithm is 0.7645.

Ming-Xi Liu (140293)
Xing Chen (140292)
Geng Chen (194556)
Qing-Hua Cui (140294)
Gui-Ying Yan (140295)

January 2014

The ROC curve for leave-one-out cross validation and the AUC of our algorithm is 0.7645.</p

Comparison of AUROC values under the 5-Fold cross-validation on four datasets in groups AB and EF.

Hakimeh Khojasteh (16748091)
Jamshid Pirgazi (5508737)
Ali Ghanbari Sorkhi (16748094)

August 2023

Comparison of AUROC values under the 5-Fold cross-validation on four datasets in groups AB and EF.</...

ROC curve for the best classification models resulting from the LOO validation (ranking based on the AUC obtained for each classifier).

Diana de la Iglesia (649447)
Miguel García-Remesal (649448)
Alberto Anguita (649449)
Miguel Muñoz-Mármol (649450)
Casimir Kulikowski (649451)
Víctor Maojo (649452)

October 2014

ROC curve for the best classification models resulting from the LOO validation (ranking based on ...

Cross-species ROC AUC scores for each models classification performance on our human SSL interaction validation set.

Graeme Benstead-Hume (3566114)
Xiangrong Chen (697789)
Suzanna R. Hopkins (6597443)
Karen A. Lane (6597446)
Jessica A. Downs (332831)
Frances M. G. Pearl (6597449)

April 2019

An additional curve for our consensus predictions was added separately based on the performance of t...

5 × 5-fold cross-validation results: Mean ROC curves and AUC scores (95% C.I.).

Julia Diaz-Escobar (11272958)
Nelson E. Ordóñez-Guillén (11272961)
Salvador Villarreal-Reyes (7203815)
Alejandro Galaviz-Mosqueda (11272964)
Vitaly Kober (11272967)
Raúl Rivera-Rodriguez (11272970)
Jose E. Lozano Rizk (11272973)

August 2021

5 × 5-fold cross-validation results: Mean ROC curves and AUC scores (95% C.I.).</p

5 × 5-fold cross-validation results: ACC, BACC, and AUC-ROC ACC, BACC, and AUC-ROC scores boxplots.

Julia Diaz-Escobar (11272958)
Nelson E. Ordóñez-Guillén (11272961)
Salvador Villarreal-Reyes (7203815)
Alejandro Galaviz-Mosqueda (11272964)
Vitaly Kober (11272967)
Raúl Rivera-Rodriguez (11272970)
Jose E. Lozano Rizk (11272973)

August 2021

Box extends from the Q1 to Q3 quartile values of the data, with a line at the median and a triangle ...

AUC scores of the models built with different topological features.

Qifan Kuang (624438)
MinQi Wang (624439)
Rong Li (72042)
YongCheng Dong (5660449)
Yizhou Li (226344)
Menglong Li (226358)

September 2014

Determined from ten-fold cross validation experiments. The AUC scores are normalized to 100.<...

Summary of model performances (cross-validation AUC) for models with (A) topological variables excluded and (B) topological variables included contrasting 13 modelled species (for abbreviations see Table 1), five distance classes and two variable datasets (MV: measured variables, AV: assessment scores).

Johannes Radinger (2911214)
Christian Wolter (153342)
Jochem Kail (505659)

November 2015

Summary of model performances (cross-validation AUC) for models with (A) topological variables ex...

Cross-validation of the immunogenicity model.

Jorg J. A. Calis (179991)
Matt Maybeno (142804)
Jason A. Greenbaum (250956)
Daniela Weiskopf (476163)
Aruna D. De Silva (476164)
Alessandro Sette (19132)
Can Keşmir (34541)
Bjoern Peters (19131)

October 2013

Two-thirds of the data were used for making the immunogenicity model (see <a href="http://www.plo...

Receiver Operating Characteristic (ROC) curve for 10 fold cross-validation.

Yalda Zare (522034)
George E. Shook (522035)
Michael T. Collins (203973)
Brian W. Kirkpatrick (522036)

February 2014

A) Discovery data (32,587 SNPs) B) Combined data (32,375 SNPs). Ten sets of training and testing ...

Cross validation results.

Peng Wang (34436)
Shangwei Ning (104422)
Qianghu Wang (104424)
Ronghong Li (104426)
Jingrun Ye (104427)
Zuxianglan Zhao (104428)
Yan Li (23143)
Teng Huang (104429)
Xia Li (14984)

January 2013

(A) ROC curves based on the three orthogonal ontologies of GO. The maximum AUC score was 0.71 whe...

The ROC curves of 10-fold cross-validation test and the independent dataset test respectivley.

Xiaojiao Yang (504403)
Yanzhi Guo (347654)
Jiesi Luo (504404)
Xuemei Pu (504405)
Menglong Li (226358)

December 2013

The model gives a high receiver operating curve (AUC) of 0.9277 for the training set and 0.9900 f...

Prediction accuracies of LASSO models as measured by AUCs.

Iksoo Huh (800266)
Isabel Mendizabal (233342)
Taesung Park (4438)
Soojin V. Yi (77355)

October 2018

(A) ROC curves of the human same-prediction result from ten-fold cross validation. Solid lines repre...

AUPR scores of the models built with different topological features.

Qifan Kuang (624438)
MinQi Wang (624439)
Rong Li (72042)
YongCheng Dong (5660449)
Yizhou Li (226344)
Menglong Li (226358)

September 2014

Determined from ten-fold cross validation experiments. The AUPR scores are normalized to 100....

migariane/cvAUROC: Cross-validated AUC for Stata users

Fernandez, Miguel Angel Luque

March 2019

Receiver operating characteristic (ROC) analysis is used for comparing predictive models, both in mo...

The ROC curve for leave-one-out cross validation and the AUC of our algorithm is 0.7645.

Ming-Xi Liu (140293)
Xing Chen (140292)
Geng Chen (194556)
Qing-Hua Cui (140294)
Gui-Ying Yan (140295)

January 2014

The ROC curve for leave-one-out cross validation and the AUC of our algorithm is 0.7645.</p

Comparison of AUROC values under the 5-Fold cross-validation on four datasets in groups AB and EF.

Hakimeh Khojasteh (16748091)
Jamshid Pirgazi (5508737)
Ali Ghanbari Sorkhi (16748094)

August 2023

Comparison of AUROC values under the 5-Fold cross-validation on four datasets in groups AB and EF.</...

ROC curve for the best classification models resulting from the LOO validation (ranking based on the AUC obtained for each classifier).

Diana de la Iglesia (649447)
Miguel García-Remesal (649448)
Alberto Anguita (649449)
Miguel Muñoz-Mármol (649450)
Casimir Kulikowski (649451)
Víctor Maojo (649452)

October 2014

ROC curve for the best classification models resulting from the LOO validation (ranking based on ...

Cross validation ROC AUC scores for each organism from both in-species and cross species SSL models.

Abstract

Extracted data

Cross validation ROC AUC scores for each organism from both in-species and cross species SSL models.

Abstract

Extracted data

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