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How to force histogram plots to have same axes?

2

$begingroup$

I am comparing my trained model with other benchmark models with the error histogram but the axis of histogram is different for each method as shown in figure.For instance to plot the error histogram of every method,I tried this code:

% Matlab code
Targets=Actual;
Outputs=Predicted_by_model;
errors=Targets-Outputs;
error_std=std(errors);
MAPE=mean(abs(Targets-Outputs)./Targets)*100;
histfit(errors);
legend('Proposed')
title(['MAPE = ' num2str(MAPE) ' , Error St.D. = ' num2str(error_std)]))

How to keep axis of every method to the same value.

machine-learning neural-network plotting matplotlib historgram

share|improve this question

edited Mar 28 at 4:46

Case Msee

asked Mar 28 at 4:37

Case MseeCase Msee

4501713

$endgroup$

add a comment | 

2

$begingroup$

I am comparing my trained model with other benchmark models with the error histogram but the axis of histogram is different for each method as shown in figure.For instance to plot the error histogram of every method,I tried this code:

% Matlab code
Targets=Actual;
Outputs=Predicted_by_model;
errors=Targets-Outputs;
error_std=std(errors);
MAPE=mean(abs(Targets-Outputs)./Targets)*100;
histfit(errors);
legend('Proposed')
title(['MAPE = ' num2str(MAPE) ' , Error St.D. = ' num2str(error_std)]))

How to keep axis of every method to the same value.

machine-learning neural-network plotting matplotlib historgram

share|improve this question

edited Mar 28 at 4:46

Case Msee

asked Mar 28 at 4:37

Case MseeCase Msee

4501713

$endgroup$

add a comment | 

$begingroup$

I am comparing my trained model with other benchmark models with the error histogram but the axis of histogram is different for each method as shown in figure.For instance to plot the error histogram of every method,I tried this code:

% Matlab code
Targets=Actual;
Outputs=Predicted_by_model;
errors=Targets-Outputs;
error_std=std(errors);
MAPE=mean(abs(Targets-Outputs)./Targets)*100;
histfit(errors);
legend('Proposed')
title(['MAPE = ' num2str(MAPE) ' , Error St.D. = ' num2str(error_std)]))

How to keep axis of every method to the same value.

machine-learning neural-network plotting matplotlib historgram

share|improve this question

edited Mar 28 at 4:46

Case Msee

asked Mar 28 at 4:37

Case MseeCase Msee

4501713

$endgroup$

% Matlab code
Targets=Actual;
Outputs=Predicted_by_model;
errors=Targets-Outputs;
error_std=std(errors);
MAPE=mean(abs(Targets-Outputs)./Targets)*100;
histfit(errors);
legend('Proposed')
title(['MAPE = ' num2str(MAPE) ' , Error St.D. = ' num2str(error_std)]))

share|improve this question

edited Mar 28 at 4:46

Case Msee

asked Mar 28 at 4:37

Case MseeCase Msee

4501713

share|improve this question

edited Mar 28 at 4:46

Case Msee

asked Mar 28 at 4:37

Case MseeCase Msee

4501713

asked Mar 28 at 4:37

Case MseeCase Msee

4501713

asked Mar 28 at 4:37

Case MseeCase Msee

4501713