I am working on facial expression recognition. i made a dataset contain features & classes of 213 images. * Step1: Each row of my dataset represents the features of 1 image. so for 213 images 213 rows * Step2: the last column represents classes like; 1,2,3,4,5,6,7 # Q1: when i run classification learner and the cross validation is checked the accuracy is very low. # Q2: when i run classification learner and the cross validation is not checked the accuracy is good for all classifiers. * I dont understand why? please help me? if someone has already experienced

Info

이 질문은 마감되었습니다. 편집하거나 답변을 올리려면 질문을 다시 여십시오.

How to use classification Learner in my environment?

조회 수: 3 (최근 30일)

Muhammad Kashif 2018년 9월 21일

마감: MATLAB Answer Bot 2021년 8월 20일

I am working on facial expression recognition. i made a dataset contain features & classes of 213 images.

Step1: Each row of my dataset represents the features of 1 image. so for 213 images 213 rows
Step2: the last column represents classes like; 1,2,3,4,5,6,7

Q1: when i run classification learner and the cross validation is checked the accuracy is very low.
Q2: when i run classification learner and the cross validation is not checked the accuracy is good for all classifiers.

이 질문은 마감되었습니다.

이 질문은 마감되었습니다.

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

Translated by