Precision recall curves for the top performing model compared to individual feature predictions.

Result on the average precision, recall, and F-measure with varying in the best case using features (F1–7).

Peiying Ruan (420285)
Morihiro Hayashida (420286)
Osamu Maruyama (420287)
Tatsuya Akutsu (81254)

June 2013

Result on the average precision, recall, and F-measure with varying in the best case using featu...

The Precision/recall curves for the three different prediction methods.

Lu-Lu Zheng (144900)
Yi-Xue Li (21163)
Juan Ding (144903)
Xiao-Kui Guo (33287)
Kai-Yan Feng (133120)
Ya-Jun Wang (137203)
Le-Le Hu (144906)
Yu-Dong Cai (133116)
Pei Hao (27696)
Kuo-Chen Chou (117713)

August 2012

See the legend of <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0042517#p...

Precision-Recall curves.

Alejandro F. Villaverde (313992)
John Ross (313994)
Federico Morán (313996)
Julio R. Banga (153563)

May 2014

PR curves (recall in horizontal axis, precision in vertical axis) of all the benchmarks (B1–B7) f...

ROC curves for the top performing model compared to individual feature predictions.

Robert Hammond (3631525)
Rodoniki Athanasiadou (250841)
Silvia Curado (60275)
Yindalon Aphinyanaphongs (3526454)
Courtney Abrams (6619631)
Mary Jo Messito (6619634)
Rachel Gross (6585113)
Michelle Katzow (6619637)
Melanie Jay (6291920)
Narges Razavian (6619640)
Brian Elbel (2838662)

April 2019

ROC curves for the top performing model compared to individual feature predictions.</p

Performance analysis in terms of the precision-recall curve of the proposed method.

Ruqia Bibi (13899559)
Zahid Mehmood (4526767)
Asmaa Munshi (13899562)
Rehan Mehmood Yousaf (13899565)
Syed Sohail Ahmed (13899568)

October 2022

Performance analysis in terms of the precision-recall curve of the proposed method.</p

Obtained precision-recall curves on synthetic data (AUPR inside parentheses).

David Aparício (5870477)
Pedro Ribeiro (358683)
Fernando Silva (2213986)

October 2018

Obtained precision-recall curves on synthetic data (AUPR inside parentheses).</p

Precision-recall curves of the three classifiers.

Unseok Lee (5150504)
Sungyul Chang (579208)
Gian Anantrio Putra (5150498)
Hyoungseok Kim (5150501)
Dong Hwan Kim (586776)

April 2018

A: Precision-recall curves of validation data sets. B: Precision-recall curves of test data sets....

Precision-recall (PR) curves and receiver operating characteristic (ROC) curves with test datasets.

Taehan Koo (11285584)
Moon Hwan Kim (11285587)
Mihn-Sook Jue (7017614)

August 2021

Precision-recall (PR) curves and receiver operating characteristic (ROC) curves with test datasets.<...

Precision recall curves for data set with 100 data points and class ratio 1 to 4.

Jens Keilwagen (230589)
Ivo Grosse (19487)
Jan Grau (19484)

March 2014

The blue and the red curve indicate estimators of the best and the worst curve, respectively. The...

Precision-Recall curves for the three experimental settings (Multi-instance Learning, Multi-instance Learning Novel, Single Instance Learning).

Suyu Mei (158275)
Hao Zhu (56502)

October 2014

Precision-Recall curves for the three experimental settings (Multi-instance Learning, Multi-insta...

Receiver operating characteristics (left) and Precision-Recall curve (right) for the four model architectures on the prospective test set.

Erik Bergman (13989411)
Luise Dürlich (17592877)
Veronica Arthurson (17592880)
Anders Sundström (157528)
Maria Larsson (784935)
Shamima Bhuiyan (17592883)
Andreas Jakobsson (1624294)
Gabriel Westman (470272)

December 2023

Receiver operating characteristics (left) and Precision-Recall curve (right) for the four model arch...

A graph of model performance scores (precision, recall and F1) based on varying MLP depths.

Leonard Tan (10663470)
Ooi Kiang Tan (2382127)
Chun Chau Sze (14419744)
Wilson Wen Bin Goh (14419747)

January 2023

A graph of model performance scores (precision, recall and F1) based on varying MLP depths.</p

Precision-Recall-Gain Curves: PR Analysis Done Right

Peter A. Flach
Meelis Kull

January 2016

Precision-Recall analysis abounds in applications of binary classification where true negatives do n...

Comparison of model performance using area under the ROC curve (AUROC) and area under the precision-recall curve (AUPR) on DREAM5 data sets.

Alain J. Mbebi (16715678)
Zoran Nikoloski (175457)

July 2023

Comparison of model performance using area under the ROC curve (AUROC) and area under the precision-...

Comparison of different TTE predictors on the independent test set.

Xiaobao Dong (379717)
Yong-Jun Zhang (144160)
Ziding Zhang (145526)

February 2013

(A) ROCs of five different methods. The values in the brackets are the average auROCs of e...

Result on the average precision, recall, and F-measure with varying in the best case using features (F1–7).

Peiying Ruan (420285)
Morihiro Hayashida (420286)
Osamu Maruyama (420287)
Tatsuya Akutsu (81254)

June 2013

Result on the average precision, recall, and F-measure with varying in the best case using featu...

The Precision/recall curves for the three different prediction methods.

Lu-Lu Zheng (144900)
Yi-Xue Li (21163)
Juan Ding (144903)
Xiao-Kui Guo (33287)
Kai-Yan Feng (133120)
Ya-Jun Wang (137203)
Le-Le Hu (144906)
Yu-Dong Cai (133116)
Pei Hao (27696)
Kuo-Chen Chou (117713)

August 2012

See the legend of <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0042517#p...

Precision-Recall curves.

Alejandro F. Villaverde (313992)
John Ross (313994)
Federico Morán (313996)
Julio R. Banga (153563)

May 2014

PR curves (recall in horizontal axis, precision in vertical axis) of all the benchmarks (B1–B7) f...

ROC curves for the top performing model compared to individual feature predictions.

Robert Hammond (3631525)
Rodoniki Athanasiadou (250841)
Silvia Curado (60275)
Yindalon Aphinyanaphongs (3526454)
Courtney Abrams (6619631)
Mary Jo Messito (6619634)
Rachel Gross (6585113)
Michelle Katzow (6619637)
Melanie Jay (6291920)
Narges Razavian (6619640)
Brian Elbel (2838662)

April 2019

ROC curves for the top performing model compared to individual feature predictions.</p

Performance analysis in terms of the precision-recall curve of the proposed method.

Ruqia Bibi (13899559)
Zahid Mehmood (4526767)
Asmaa Munshi (13899562)
Rehan Mehmood Yousaf (13899565)
Syed Sohail Ahmed (13899568)

October 2022

Performance analysis in terms of the precision-recall curve of the proposed method.</p

Obtained precision-recall curves on synthetic data (AUPR inside parentheses).

David Aparício (5870477)
Pedro Ribeiro (358683)
Fernando Silva (2213986)

October 2018

Obtained precision-recall curves on synthetic data (AUPR inside parentheses).</p

Precision-recall curves of the three classifiers.

Unseok Lee (5150504)
Sungyul Chang (579208)
Gian Anantrio Putra (5150498)
Hyoungseok Kim (5150501)
Dong Hwan Kim (586776)

April 2018

A: Precision-recall curves of validation data sets. B: Precision-recall curves of test data sets....

Precision-recall (PR) curves and receiver operating characteristic (ROC) curves with test datasets.

Taehan Koo (11285584)
Moon Hwan Kim (11285587)
Mihn-Sook Jue (7017614)

August 2021

Precision-recall (PR) curves and receiver operating characteristic (ROC) curves with test datasets.<...

Precision recall curves for data set with 100 data points and class ratio 1 to 4.

Jens Keilwagen (230589)
Ivo Grosse (19487)
Jan Grau (19484)

March 2014

The blue and the red curve indicate estimators of the best and the worst curve, respectively. The...

Precision-Recall curves for the three experimental settings (Multi-instance Learning, Multi-instance Learning Novel, Single Instance Learning).

Suyu Mei (158275)
Hao Zhu (56502)

October 2014

Precision-Recall curves for the three experimental settings (Multi-instance Learning, Multi-insta...

Receiver operating characteristics (left) and Precision-Recall curve (right) for the four model architectures on the prospective test set.

Erik Bergman (13989411)
Luise Dürlich (17592877)
Veronica Arthurson (17592880)
Anders Sundström (157528)
Maria Larsson (784935)
Shamima Bhuiyan (17592883)
Andreas Jakobsson (1624294)
Gabriel Westman (470272)

December 2023

Receiver operating characteristics (left) and Precision-Recall curve (right) for the four model arch...

A graph of model performance scores (precision, recall and F1) based on varying MLP depths.

Leonard Tan (10663470)
Ooi Kiang Tan (2382127)
Chun Chau Sze (14419744)
Wilson Wen Bin Goh (14419747)

January 2023

A graph of model performance scores (precision, recall and F1) based on varying MLP depths.</p

Precision-Recall-Gain Curves: PR Analysis Done Right

Peter A. Flach
Meelis Kull

January 2016

Precision-Recall analysis abounds in applications of binary classification where true negatives do n...

Comparison of model performance using area under the ROC curve (AUROC) and area under the precision-recall curve (AUPR) on DREAM5 data sets.

Alain J. Mbebi (16715678)
Zoran Nikoloski (175457)

July 2023

Comparison of model performance using area under the ROC curve (AUROC) and area under the precision-...

Comparison of different TTE predictors on the independent test set.

Xiaobao Dong (379717)
Yong-Jun Zhang (144160)
Ziding Zhang (145526)

February 2013

(A) ROCs of five different methods. The values in the brackets are the average auROCs of e...

Result on the average precision, recall, and F-measure with varying in the best case using features (F1–7).

Peiying Ruan (420285)
Morihiro Hayashida (420286)
Osamu Maruyama (420287)
Tatsuya Akutsu (81254)

June 2013

Result on the average precision, recall, and F-measure with varying in the best case using featu...

The Precision/recall curves for the three different prediction methods.

Lu-Lu Zheng (144900)
Yi-Xue Li (21163)
Juan Ding (144903)
Xiao-Kui Guo (33287)
Kai-Yan Feng (133120)
Ya-Jun Wang (137203)
Le-Le Hu (144906)
Yu-Dong Cai (133116)
Pei Hao (27696)
Kuo-Chen Chou (117713)

August 2012

See the legend of <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0042517#p...

Precision-Recall curves.

Alejandro F. Villaverde (313992)
John Ross (313994)
Federico Morán (313996)
Julio R. Banga (153563)

May 2014

PR curves (recall in horizontal axis, precision in vertical axis) of all the benchmarks (B1–B7) f...

Precision recall curves for the top performing model compared to individual feature predictions.

Abstract

Extracted data

Precision recall curves for the top performing model compared to individual feature predictions.

Abstract

Extracted data

Related items

Related items