why am i getting error with this code?

2023 2 8
1 个回答
更新时间：2023 2 9
2 次查看（30 天）

0 个投票

testdata = readtable("testdata.xlsx");
predictions = char(trainedModel.predictFcn(testdata));
iscorrect=predictions==cell2mat(string((testdata.Character)));
iscorrect=iscorrect(:,2);
accuracy = sum(iscorrect)*100/30;

9 个评论
显示 7更早的评论 隐藏 7更早的评论

Fifteen12
Fifteen12 2023-2-8
What is the error you're getting? Without your test data it's difficult to replicate your issue.
Walter Roberson
Walter Roberson 2023-2-8
Does the predictFcn of the trainedModel accept a table as input?
Why are you comparing only the second character of each predicted value against the table ?
Why are you dividing accuracy by the magic number 30 instead of by the number of rows in incorrect ?
Kregozt
Kregozt 2023-2-8
I am trying to predict the accuracy between 2 models using this code ,am using iris dataset as my sample data. I have used code to get 80% trained data and 20% test data by splitting the dataset by using cvpartition function.
Kregozt
Kregozt 2023-2-8
Everytime I run the code the error is arising at line 2 dont know why. I was referring classification learner app video by matlabhelper on Youtube and tried doing the same in matlab but the code was giving error
Kregozt
Kregozt 2023-2-8
I was diving by 30 because from matlab documentation I learnt that division should be done by the number of rows in test data
Walter Roberson
Walter Roberson 2023-2-9
accuracy = mean(iscorrect) * 100.
Walter Roberson
Walter Roberson 2023-2-9
try
predictions = trainedModel.predictFcn(testdata);
and show us class(predictions) and size(predictions)
Kregozt
Kregozt 2023-2-9
but i have done the same but only converting the same to character
Walter Roberson
Walter Roberson 2023-2-9
It would make it easier for us to advise you if you were to call
predictions = trainedModel.predictFcn(testdata);
whos predictions
and show us the output of the whos call.

请先登录，再进行评论。

请先登录，再回答此问题。

回答（1 个）

0 个投票

Without looking at your data, it is diffiuclt to address your question properly. Thus, pl., post your sample data.

类别

在 帮助中心 和 File Exchange 中查找有关 Pattern Recognition 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by