I keep getting error using plot not enough input arguments.
显示 更早的评论
I keep getting error when I try to plot the following code and I don't really know what to do.
figure
plot(recall,precision)
xlabel("Recall")
ylabel("Precision")
grid on
title(sprintf("Average Precision = %.2f",ap))
Error using plot
Not enough input arguments.
3 个评论
Torsten
2023-5-4
And how are the arrays for recall and prescision defined in your code ?
At the moment, both plot components are empty - thus nothing to plot.
Adrian Kleffler
2023-5-4
Adrian Kleffler
2023-5-4
i improved the code to something like this :
recallv = cell2mat(recall);
precisionv = cell2mat(precision);
figure
plot(recallv,precisionv)
xlabel("Recall")
ylabel("Precision")
grid on
title(sprintf("Average Precision = %.2f",ap))
the graph is shown but it looks bad, something else is wrong also. 
回答（1 个）
Dyuman Joshi
2023-5-4
You need to sort your x data.
recallv = cell2mat(recall);
precisionv = cell2mat(precision);
[r,index] = sort(recallv);
p = precisionv(index);
figure
plot(r,p)
xlabel("Recall")
ylabel("Precision")
grid on
title(sprintf("Average Precision = %.2f",ap))
6 个评论
Adrian Kleffler
2023-5-4
编辑：Adrian Kleffler
2023-5-4
thanks, it looks like this helped, but i have 6 classes in my detector... it looks like there is average precision for all the classes in one graph ... how to improve it ?
Dyuman Joshi
2023-5-4
Could you please attach your data?
Adrian Kleffler
2023-5-4
Dyuman Joshi
2023-5-4
The arrays - recall and precision.
Also, could you elaborate on this statement?
"it looks like there is average precision for all the classes in one graph ... how to improve it ? "
Adrian Kleffler
2023-5-4
recall :
0
[0;0.166666666666667;0.333333333333333;0.500000000000000;0.666666666666667;0.833333333333333]
20x1 double
[0;0.125000000000000;0.250000000000000;0.375000000000000;0.500000000000000;0.625000000000000;0.750000000000000;0.875000000000000;1]
12x1 double
[0;0.111111111111111;0.222222222222222;0.333333333333333;0.444444444444444;0.555555555555556;0.666666666666667;0.777777777777778;0.888888888888889;1]
precision :
1
[1;1;1;1;1;1]
20x1 double
[1;1;1;1;1;1;1;1;1]
12x1 double
[1;1;1;1;1;1;1;1;1;1]
i want to say that i have 6 classes in my project, so in that graph (on the top of the graph, ap = 0,83, ap = 0,29...) i posted, there are average precisions for 6 classes in my opinion ... i don´t know if its possible to combine them to only one average precision or what to do with them... on matlab page there is one example where the graph looks like this (but they had only one class to detect) : 
I hope you understand me, and i am so thankful for your answers.
Adrian Kleffler
2023-5-4
类别
在 帮助中心 和 File Exchange 中查找有关 Deep Learning Toolbox 的更多信息
2023-5-4
2023-5-4
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
