Classification for seperate training and testing dataset
Hello gyus,
I extract 20 features for 8 images(which are 8 diseases) and then I made a .csv file of these features.I have also an another .csv file
with these features from a dataset of 3000 images. So I have the trining and the testing dataset. I want to classificate the 3000 images
with the 8 diseases from the the first .csv file. Can i use the tool of classification learner or only writing code?
Thanks in advance!Hello gyus,
I extract 20 features for 8 images(which are 8 diseases) and then I made a .csv file of these features.I have also an another .csv file
with these features from a dataset of 3000 images. So I have the trining and the testing dataset. I want to classificate the 3000 images
with the 8 diseases from the the first .csv file. Can i use the tool of classification learner or only writing code?
Thanks in advance! Hello gyus,
I extract 20 features for 8 images(which are 8 diseases) and then I made a .csv file of these features.I have also an another .csv file
with these features from a dataset of 3000 images. So I have the trining and the testing dataset. I want to classificate the 3000 images
with the 8 diseases from the the first .csv file. Can i use the tool of classification learner or only writing code?
Thanks in advance! classificationseperate dataclassification tooltesting datatraining datafeauturescsv file MATLAB Answers — New Questions