Performance of the machine learning algorithms for survivability predictions.

Forecasting performance of the MLP model of ANNs for AIDS in the test set.

Yongqing Nan (5504393)
Yanyan Gao (2986050)

July 2018

Forecasting performance of the MLP model of ANNs for AIDS in the test set.</p

Performance comparison of the machine learning models regarding the use of KNN imputer.

Turki Aljrees (16715369)

January 2024

Performance comparison of the machine learning models regarding the use of KNN imputer.</p

Classification performance measures of final prediction model at different risk thresholds.

Shahreen Raihana (828393)
Dustin Dunsmuir (576516)
Tanvir Huda (632406)
Guohai Zhou (576517)
Qazi Sadeq-ur Rahman (410176)
Ainara Garde (512762)
Md Moinuddin (828394)
Walter Karlen (512763)
Guy A. Dumont (438302)
Niranjan Kissoon (218559)
Shams El Arifeen (174252)
Charles Larson (426357)
J. Mark Ansermino (426355)

November 2015

Classification performance measures of final prediction model at different risk thresholds.</p

Performance of prediction workflows with machine learning methods and knowledge-based optimization.

Konda Leela Sarath Kumar (2822333)
Sujit R. Tangadpalliwar (2822336)
Aarti Desai (402084)
Vivek K. Singh (144130)
Abhay Jere (378022)

June 2016

Performance of prediction workflows with machine learning methods and knowledge-based optimizatio...

Comparison of false positive ratio (FPR) and true positive ratio (TPR) for machine learning algorithms for survivability predictions.

Dohyun Kim (1921894)
Sungmin You (5883812)
Soonwon So (5883815)
Jongshill Lee (5883818)
Sunhyun Yook (5883821)
Dong Pyo Jang (821432)
In Young Kim (821431)
Eunkyoung Park (2577247)
Kyeongwon Cho (5883824)
Won Chul Cha (761496)
Dong Wook Shin (176902)
Baek Hwan Cho (5883827)
Hoon-Ki Park (5883830)

October 2018

Comparison of false positive ratio (FPR) and true positive ratio (TPR) for machine learning algorith...

Evaluation and Performance Analysis of Machine Learning Algorithms

Mr. Shridhar Kamble
Ms. Priya Vartak

October 2015

Prediction is widely researched area in data mining domain due to its applications. There are many t...

Performance of Predictions for Dataset T at Various Decision Thresholds of the Probability Score.

Wei-Cheng Lo (38472)
Tian Dai (183713)
Yen-Yi Liu (183718)
Li-Fen Wang (183722)
Jenn-Kang Hwang (20258)
Ping-Chiang Lyu (38475)

February 2012

Performance of Predictions for Dataset T at Various Decision Thresholds of the Probability Score....

Performance of train and test data for predicting weekly norovirus warning, using the 6 machine learning algorithms.

Sieun Lee (9083618)
Eunhae Cho (14129496)
Geunsoo Jang (14129499)
Sangil Kim (2225599)
Giphil Cho (14129502)

November 2022

Performance of train and test data for predicting weekly norovirus warning, using the 6 machine lear...

Performance parameter values for five machine learning algorithms before and after over-sampling.

Shiqi Wang (163773)
Jinwan Wang (3494783)
Mark Xuefang Zhu (14227392)
Qian Tan (3217719)

December 2022

Performance parameter values for five machine learning algorithms before and after over-sampling.</p

Performance of machine learning models on test set using the original imbalanced training set.

Nirajan Budhathoki (17599014)
Ramesh Bhandari (11080476)
Suraj Bashyal (17599017)
Carl Lee (17599020)

December 2023

Performance of machine learning models on test set using the original imbalanced training set.</p

Performance of machine learning models on test set using the ROSE-adjusted balanced training set.

Nirajan Budhathoki (17599014)
Ramesh Bhandari (11080476)
Suraj Bashyal (17599017)
Carl Lee (17599020)

December 2023

Performance of machine learning models on test set using the ROSE-adjusted balanced training set.</p

Diagnostic results of a screening procedure among different machine learning algorithms.

Stephan Ellmann (314565)
Victoria Langer (5900786)
Nathalie Britzen-Laurent (235952)
Kai Hildner (200756)
Carina Huber (5900789)
Philipp Tripal (168210)
Lisa Seyler (5900792)
Maximilian Waldner (5900795)
Michael Uder (437162)
Michael Stürzl (235962)
Tobias Bäuerle (5037185)

October 2018

Diagnostic results of a screening procedure among different machine learning algorithms.</p

Comparing the performance of the GCNMLP with various machine learning methods for SIDER.

Y.-H. Chen (3943967)
Y.-T. Shih (14259397)
C.-S. Chien (14259400)
C.-S. Tsai (14259403)

December 2022

Comparing the performance of the GCNMLP with various machine learning methods for SIDER.</p

Performance of machine learning models on test set using the SMOTE-adjusted balanced training set.

Nirajan Budhathoki (17599014)
Ramesh Bhandari (11080476)
Suraj Bashyal (17599017)
Carl Lee (17599020)

December 2023

Performance of machine learning models on test set using the SMOTE-adjusted balanced training set.</...

Performance of the machine-learned model when propensity matching based on age and gender.

Sanjeev P. Bhavnani (13847866)
Rola Khedraki (13847869)
Travis J. Cohoon (13847872)
Frederick J. Meine III (5613791)
Thomas D. Stuckey (5613776)
Thomas McMinn (14123919)
Jeremiah P. Depta (5613785)
Brett Bennett (14123922)
Thomas McGarry (14123925)
William Carroll (2106721)
David Suh (111966)
John A. Steuter (5613788)
Michael Roberts (312937)
Horace R. Gillins (14123928)
Ian Shadforth (5613803)
Emmanuel Lange (13847884)
Abhinav Doomra (14123931)
Mohammad Firouzi (14123934)
Farhad Fathieh (4382437)
Timothy Burton (3401057)
Ali Khosousi (5613800)
Shyam Ramchandani (5613794)
William E. Sanders Jr. (5613806)
Frank Smart (14123937)

November 2022

Performance of the machine-learned model when propensity matching based on age and gender.</p

Forecasting performance of the MLP model of ANNs for AIDS in the test set.

Yongqing Nan (5504393)
Yanyan Gao (2986050)

July 2018

Forecasting performance of the MLP model of ANNs for AIDS in the test set.</p

Performance comparison of the machine learning models regarding the use of KNN imputer.

Turki Aljrees (16715369)

January 2024

Performance comparison of the machine learning models regarding the use of KNN imputer.</p

Classification performance measures of final prediction model at different risk thresholds.

Shahreen Raihana (828393)
Dustin Dunsmuir (576516)
Tanvir Huda (632406)
Guohai Zhou (576517)
Qazi Sadeq-ur Rahman (410176)
Ainara Garde (512762)
Md Moinuddin (828394)
Walter Karlen (512763)
Guy A. Dumont (438302)
Niranjan Kissoon (218559)
Shams El Arifeen (174252)
Charles Larson (426357)
J. Mark Ansermino (426355)

November 2015

Classification performance measures of final prediction model at different risk thresholds.</p

Performance of prediction workflows with machine learning methods and knowledge-based optimization.

Konda Leela Sarath Kumar (2822333)
Sujit R. Tangadpalliwar (2822336)
Aarti Desai (402084)
Vivek K. Singh (144130)
Abhay Jere (378022)

June 2016

Performance of prediction workflows with machine learning methods and knowledge-based optimizatio...

Comparison of false positive ratio (FPR) and true positive ratio (TPR) for machine learning algorithms for survivability predictions.

Dohyun Kim (1921894)
Sungmin You (5883812)
Soonwon So (5883815)
Jongshill Lee (5883818)
Sunhyun Yook (5883821)
Dong Pyo Jang (821432)
In Young Kim (821431)
Eunkyoung Park (2577247)
Kyeongwon Cho (5883824)
Won Chul Cha (761496)
Dong Wook Shin (176902)
Baek Hwan Cho (5883827)
Hoon-Ki Park (5883830)

October 2018

Comparison of false positive ratio (FPR) and true positive ratio (TPR) for machine learning algorith...

Evaluation and Performance Analysis of Machine Learning Algorithms

Mr. Shridhar Kamble
Ms. Priya Vartak

October 2015

Prediction is widely researched area in data mining domain due to its applications. There are many t...

Performance of Predictions for Dataset T at Various Decision Thresholds of the Probability Score.

Wei-Cheng Lo (38472)
Tian Dai (183713)
Yen-Yi Liu (183718)
Li-Fen Wang (183722)
Jenn-Kang Hwang (20258)
Ping-Chiang Lyu (38475)

February 2012

Performance of Predictions for Dataset T at Various Decision Thresholds of the Probability Score....

Performance of train and test data for predicting weekly norovirus warning, using the 6 machine learning algorithms.

Sieun Lee (9083618)
Eunhae Cho (14129496)
Geunsoo Jang (14129499)
Sangil Kim (2225599)
Giphil Cho (14129502)

November 2022

Performance of train and test data for predicting weekly norovirus warning, using the 6 machine lear...

Performance parameter values for five machine learning algorithms before and after over-sampling.

Shiqi Wang (163773)
Jinwan Wang (3494783)
Mark Xuefang Zhu (14227392)
Qian Tan (3217719)

December 2022

Performance parameter values for five machine learning algorithms before and after over-sampling.</p

Performance of machine learning models on test set using the original imbalanced training set.

Nirajan Budhathoki (17599014)
Ramesh Bhandari (11080476)
Suraj Bashyal (17599017)
Carl Lee (17599020)

December 2023

Performance of machine learning models on test set using the original imbalanced training set.</p

Performance of machine learning models on test set using the ROSE-adjusted balanced training set.

Nirajan Budhathoki (17599014)
Ramesh Bhandari (11080476)
Suraj Bashyal (17599017)
Carl Lee (17599020)

December 2023

Performance of machine learning models on test set using the ROSE-adjusted balanced training set.</p

Diagnostic results of a screening procedure among different machine learning algorithms.

Stephan Ellmann (314565)
Victoria Langer (5900786)
Nathalie Britzen-Laurent (235952)
Kai Hildner (200756)
Carina Huber (5900789)
Philipp Tripal (168210)
Lisa Seyler (5900792)
Maximilian Waldner (5900795)
Michael Uder (437162)
Michael Stürzl (235962)
Tobias Bäuerle (5037185)

October 2018

Diagnostic results of a screening procedure among different machine learning algorithms.</p

Comparing the performance of the GCNMLP with various machine learning methods for SIDER.

Y.-H. Chen (3943967)
Y.-T. Shih (14259397)
C.-S. Chien (14259400)
C.-S. Tsai (14259403)

December 2022

Comparing the performance of the GCNMLP with various machine learning methods for SIDER.</p

Performance of machine learning models on test set using the SMOTE-adjusted balanced training set.

Nirajan Budhathoki (17599014)
Ramesh Bhandari (11080476)
Suraj Bashyal (17599017)
Carl Lee (17599020)

December 2023

Performance of machine learning models on test set using the SMOTE-adjusted balanced training set.</...

Performance of the machine-learned model when propensity matching based on age and gender.

Sanjeev P. Bhavnani (13847866)
Rola Khedraki (13847869)
Travis J. Cohoon (13847872)
Frederick J. Meine III (5613791)
Thomas D. Stuckey (5613776)
Thomas McMinn (14123919)
Jeremiah P. Depta (5613785)
Brett Bennett (14123922)
Thomas McGarry (14123925)
William Carroll (2106721)
David Suh (111966)
John A. Steuter (5613788)
Michael Roberts (312937)
Horace R. Gillins (14123928)
Ian Shadforth (5613803)
Emmanuel Lange (13847884)
Abhinav Doomra (14123931)
Mohammad Firouzi (14123934)
Farhad Fathieh (4382437)
Timothy Burton (3401057)
Ali Khosousi (5613800)
Shyam Ramchandani (5613794)
William E. Sanders Jr. (5613806)
Frank Smart (14123937)

November 2022

Performance of the machine-learned model when propensity matching based on age and gender.</p

Forecasting performance of the MLP model of ANNs for AIDS in the test set.

Yongqing Nan (5504393)
Yanyan Gao (2986050)

July 2018

Forecasting performance of the MLP model of ANNs for AIDS in the test set.</p

Performance comparison of the machine learning models regarding the use of KNN imputer.

Turki Aljrees (16715369)

January 2024

Performance comparison of the machine learning models regarding the use of KNN imputer.</p

Classification performance measures of final prediction model at different risk thresholds.

Shahreen Raihana (828393)
Dustin Dunsmuir (576516)
Tanvir Huda (632406)
Guohai Zhou (576517)
Qazi Sadeq-ur Rahman (410176)
Ainara Garde (512762)
Md Moinuddin (828394)
Walter Karlen (512763)
Guy A. Dumont (438302)
Niranjan Kissoon (218559)
Shams El Arifeen (174252)
Charles Larson (426357)
J. Mark Ansermino (426355)

November 2015

Classification performance measures of final prediction model at different risk thresholds.</p

Performance of the machine learning algorithms for survivability predictions.

Abstract

Extracted data

Performance of the machine learning algorithms for survivability predictions.

Abstract

Extracted data

Related items

Related items