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

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How to use classification Learner in my environment?

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Muhammad Kashif le 21 Sep 2018

Clôturé : MATLAB Answer Bot le 20 Août 2021

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.

Cette question est clôturée.

Cette question est clôturée.

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