Comparative confusion matrices of different models using PF2095 dataset and hold-out validation method.

Confusion matrix of the classification results using a NaiveBayes classifier and cross validation.

Tetyana Zakharkina (432033)
Elke Heinzel (432034)
Rembert A. Koczulla (432035)
Timm Greulich (340109)
Katharina Rentz (432036)
Josch K. Pauling (432037)
Jan Baumbach (14867)
Mathias Herrmann (110150)
Christiane Grünewald (432038)
Hendrik Dienemann (432039)
Lutz von Müller (30747)
Robert Bals (272688)

July 2013

Confusion matrix of the classification results using a NaiveBayes classifier and cross validation...

The confusion matrix representing the computed classification accuracy % for the proposed research while using RSSCN7 dataset.

Nouman Ali (2836616)
Bushra Zafar (5352842)
Faisal Riaz (4482895)
Saadat Hanif Dar (5681471)
Naeem Iqbal Ratyal (5681474)
Khalid Bashir Bajwa (2697808)
Muhammad Kashif Iqbal (3830311)
Muhammad Sajid (710360)

September 2018

The confusion matrix representing the computed classification accuracy % for the proposed research w...

The confusion matrix representing the computed classification accuracy % for the proposed research while using 15-scene image dataset.

Nouman Ali (2836616)
Bushra Zafar (5352842)
Faisal Riaz (4482895)
Saadat Hanif Dar (5681471)
Naeem Iqbal Ratyal (5681474)
Khalid Bashir Bajwa (2697808)
Muhammad Kashif Iqbal (3830311)
Muhammad Sajid (710360)

September 2018

The confusion matrix representing the computed classification accuracy % for the proposed research w...

Comparative confusion matrices of different models using PF4204 dataset and hold-out 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

Comparative confusion matrices of different models using PF4204 dataset and hold-out validation meth...

Performance of different models on PF2095 dataset using hold-out 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 hold-out validation method.</p

Performance of different models on PF4204 dataset using hold-out 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 hold-out validation method.</p

Confusion matrix of each model with different proportions of the training set.

Qiao Sun (208432)
Jigan Wang (16949351)
Hao Zhang (15339)
Ting Wen (367995)

September 2023

Confusion matrix of each model with different proportions of the training set.</p

Confusion matrices.

Robert C. Wilson (437659)
Matthew R. Nassar (399525)
Joshua I. Gold (399526)

July 2013

(A) The confusion matrix of model probability, the estimated fraction of data simulated according...

Confusion matrix for classification by the statistical models versus the empirical models.

Antoine Bruneau (409675)
Mathieu Feuilloy (409676)
Corinne Dussaussoy (409677)
Frédéric Gagnadoux (346036)
Georges Leftheriotis (196220)
Pierre Abraham (332170)

May 2013

Confusion matrix for classification by the statistical models versus the empirical models.</p

A confusion matrix of classified students using the model developed by the training dataset in each course separately.

Mohammed Saqr (4994354)
Uno Fors (48067)
Jalal Nouri (4994357)

September 2018

A confusion matrix of classified students using the model developed by the training dataset in each ...

Confusion matrix of the CT models developed in this paper as applied to 2009 and 2010 data, respectively (in number of field samples).

Dehua Zhao (295816)
Meiting Lv (423380)
Hao Jiang (95017)
Ying Cai (22305)
Delin Xu (423381)
Shuqing An (295821)

June 2013

Confusion matrix of the CT models developed in this paper as applied to 2009 and 2010 data, respe...

Fig 4 -

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

August 2021

Confusion matrix box for (A) Dataset-100, (B) Dataset-40, and (C) all datasets.</p

A confusion matrix of classified students using the model developed by the training dataset.

Mohammed Saqr (4994354)
Uno Fors (48067)
Jalal Nouri (4994357)

September 2018

A confusion matrix of classified students using the model developed by the training dataset.</p

Confusion matrices with average classification accuracy using the calibration data for GMM-2 and GMM-4.

Daniel Hamill (4962526)
Daniel Buscombe (4962529)
Joseph M. Wheaton (400702)

March 2018

Confusion matrices with average classification accuracy using the calibration data for GMM-2 and ...

The confusion matrices of a) Tabassian’s method, and b) proposed method for the artificial dataset with the highest uncertainty.

Saeed Reza Kheradpisheh (505443)
Abbas Nowzari-Dalini (433170)
Reza Ebrahimpour (319430)
Mohammad Ganjtabesh (505444)

January 2014

The confusion matrices of a) Tabassian’s method, and b) proposed method for the artificial datase...

Confusion matrix of the classification results using a NaiveBayes classifier and cross validation.

Tetyana Zakharkina (432033)
Elke Heinzel (432034)
Rembert A. Koczulla (432035)
Timm Greulich (340109)
Katharina Rentz (432036)
Josch K. Pauling (432037)
Jan Baumbach (14867)
Mathias Herrmann (110150)
Christiane Grünewald (432038)
Hendrik Dienemann (432039)
Lutz von Müller (30747)
Robert Bals (272688)

July 2013

Confusion matrix of the classification results using a NaiveBayes classifier and cross validation...

The confusion matrix representing the computed classification accuracy % for the proposed research while using RSSCN7 dataset.

Nouman Ali (2836616)
Bushra Zafar (5352842)
Faisal Riaz (4482895)
Saadat Hanif Dar (5681471)
Naeem Iqbal Ratyal (5681474)
Khalid Bashir Bajwa (2697808)
Muhammad Kashif Iqbal (3830311)
Muhammad Sajid (710360)

September 2018

The confusion matrix representing the computed classification accuracy % for the proposed research w...

The confusion matrix representing the computed classification accuracy % for the proposed research while using 15-scene image dataset.

Nouman Ali (2836616)
Bushra Zafar (5352842)
Faisal Riaz (4482895)
Saadat Hanif Dar (5681471)
Naeem Iqbal Ratyal (5681474)
Khalid Bashir Bajwa (2697808)
Muhammad Kashif Iqbal (3830311)
Muhammad Sajid (710360)

September 2018

The confusion matrix representing the computed classification accuracy % for the proposed research w...

Comparative confusion matrices of different models using PF4204 dataset and hold-out 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

Comparative confusion matrices of different models using PF4204 dataset and hold-out validation meth...

Performance of different models on PF2095 dataset using hold-out 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 hold-out validation method.</p

Performance of different models on PF4204 dataset using hold-out 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 hold-out validation method.</p

Confusion matrix of each model with different proportions of the training set.

Qiao Sun (208432)
Jigan Wang (16949351)
Hao Zhang (15339)
Ting Wen (367995)

September 2023

Confusion matrix of each model with different proportions of the training set.</p

Confusion matrices.

Robert C. Wilson (437659)
Matthew R. Nassar (399525)
Joshua I. Gold (399526)

July 2013

(A) The confusion matrix of model probability, the estimated fraction of data simulated according...

Confusion matrix for classification by the statistical models versus the empirical models.

Antoine Bruneau (409675)
Mathieu Feuilloy (409676)
Corinne Dussaussoy (409677)
Frédéric Gagnadoux (346036)
Georges Leftheriotis (196220)
Pierre Abraham (332170)

May 2013

Confusion matrix for classification by the statistical models versus the empirical models.</p

A confusion matrix of classified students using the model developed by the training dataset in each course separately.

Mohammed Saqr (4994354)
Uno Fors (48067)
Jalal Nouri (4994357)

September 2018

A confusion matrix of classified students using the model developed by the training dataset in each ...

Confusion matrix of the CT models developed in this paper as applied to 2009 and 2010 data, respectively (in number of field samples).

Dehua Zhao (295816)
Meiting Lv (423380)
Hao Jiang (95017)
Ying Cai (22305)
Delin Xu (423381)
Shuqing An (295821)

June 2013

Confusion matrix of the CT models developed in this paper as applied to 2009 and 2010 data, respe...

Fig 4 -

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

August 2021

Confusion matrix box for (A) Dataset-100, (B) Dataset-40, and (C) all datasets.</p

A confusion matrix of classified students using the model developed by the training dataset.

Mohammed Saqr (4994354)
Uno Fors (48067)
Jalal Nouri (4994357)

September 2018

A confusion matrix of classified students using the model developed by the training dataset.</p

Confusion matrices with average classification accuracy using the calibration data for GMM-2 and GMM-4.

Daniel Hamill (4962526)
Daniel Buscombe (4962529)
Joseph M. Wheaton (400702)

March 2018

Confusion matrices with average classification accuracy using the calibration data for GMM-2 and ...

The confusion matrices of a) Tabassian’s method, and b) proposed method for the artificial dataset with the highest uncertainty.

Saeed Reza Kheradpisheh (505443)
Abbas Nowzari-Dalini (433170)
Reza Ebrahimpour (319430)
Mohammad Ganjtabesh (505444)

January 2014

The confusion matrices of a) Tabassian’s method, and b) proposed method for the artificial datase...

Confusion matrix of the classification results using a NaiveBayes classifier and cross validation.

Tetyana Zakharkina (432033)
Elke Heinzel (432034)
Rembert A. Koczulla (432035)
Timm Greulich (340109)
Katharina Rentz (432036)
Josch K. Pauling (432037)
Jan Baumbach (14867)
Mathias Herrmann (110150)
Christiane Grünewald (432038)
Hendrik Dienemann (432039)
Lutz von Müller (30747)
Robert Bals (272688)

July 2013

Confusion matrix of the classification results using a NaiveBayes classifier and cross validation...

The confusion matrix representing the computed classification accuracy % for the proposed research while using RSSCN7 dataset.

Nouman Ali (2836616)
Bushra Zafar (5352842)
Faisal Riaz (4482895)
Saadat Hanif Dar (5681471)
Naeem Iqbal Ratyal (5681474)
Khalid Bashir Bajwa (2697808)
Muhammad Kashif Iqbal (3830311)
Muhammad Sajid (710360)

September 2018

The confusion matrix representing the computed classification accuracy % for the proposed research w...

The confusion matrix representing the computed classification accuracy % for the proposed research while using 15-scene image dataset.

Nouman Ali (2836616)
Bushra Zafar (5352842)
Faisal Riaz (4482895)
Saadat Hanif Dar (5681471)
Naeem Iqbal Ratyal (5681474)
Khalid Bashir Bajwa (2697808)
Muhammad Kashif Iqbal (3830311)
Muhammad Sajid (710360)

September 2018

The confusion matrix representing the computed classification accuracy % for the proposed research w...

Comparative confusion matrices of different models using PF2095 dataset and hold-out validation method.

Abstract

Extracted data

Comparative confusion matrices of different models using PF2095 dataset and hold-out validation method.

Abstract

Extracted data

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