Error: y contains previously unseen labels: [4]

[MaameBoamahPoku]

Hi @thieu1995
I am attempting to implement a GWO optimized SVM and I run into an error
"y contains previously unseen labels: [4]" as seen in the third image

However, when the standalone SVM codes run with any error. I have attached snips of both codes to this issue.

[thieu1995]

@MaameBoamahPoku
Make sure you set a good lower bound and upper bound. The shown error is too obvious that you are missing a value in KERNEL_ENCODER. It should be:

KERNEL_ENCODER = LabelEncoder()
KERNEL_ENCODER.fit( ['linear', 'poly', 'rbf', 'sigmoid', 'precomputed'] )  
# domain range ==> 5 values, index start from 0 ==> (lb, ub) = (0, 4.99)

[MaameBoamahPoku]

Okay, thank you. I checked my lb and ub and my codes are running now:)