Hi all,
I am new in this field. I have a date set that has 5 features, 680 records and one column as a label either 1 or 0. I took 20 record as a testing set and the other as a training set. Then I made the label column as a target and the other as inputs. I created the net with (patternnet) function. Then I trained the data. After that I test the network with the testing set. When I compare the outputs of the test with the original target of the testing set, it's almost similar. That means when I calculate the accuracy by using (True Positive + True Negative) / The number of the testing data, I will get a high accuracy.
So is that correct? ( I don't know if I could put the code here or not!!)
I am using Matlab. Thanks in advance.
