how to to evaluate accuracy score for a model in matlab

I have build a decision tree model using matlab.Now i want to test my model with test data.so how can i test my model and calculate the accuracy of my model.thanks in advance

[Nicolas B.]

Do you have any method you would like to use to validate your model? Or you want a "on-the-shelf" solution?

[Walter Roberson]

https://www.mathworks.com/matlabcentral/fileexchange/21528-precision-recall-and-roc-curves

[SURENDRA BASKEY]

i have something like this

y_true=[1,0,1,0]

y_predict=[0,1,1,0]

i just want to find the accuracy score for this prediction.

[Walter Roberson]

rms(y_true == y_predict)

for one definition of "accuracy". But there are other definitions, and you need to indicate which formula you need to use.

[SURENDRA BASKEY]

i think rms error is used for model like regression.my model is binary classification which predicts either 0 or 1.what i want to know is is there inbuilt fuction in matlab which takes y_true and y_predict and gives prediction accuracy based on no of correct prediction.thank you

[Walter Roberson]

No, there is no built-in function for that. "accuracy" is not well-enough defined in the situation for there to be a function for that.

If rms() does not do the job for you, you should probably looking at precision or recall rather than some not-defined accuracy .

Answer 1

[Bhargavi Maganuru]

You can use loss function to predict classes for the test data and to get accuracy of prediction.