How to force histogram plots to have same axes?
$begingroup$
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
$endgroup$
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
$endgroup$
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
$endgroup$
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
machine-learning neural-network plotting matplotlib historgram
edited 2 mins ago
Case Msee
asked 11 mins ago
Case MseeCase Msee
4451712
4451712
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