SVM and Parameter Optimization with GridSearchCV

Note that data in the Cancer Research file has similarly scaled attributes due to the measurement systems. Hence, I did not run a scaler to transform the data. SVM might be impacted by scale differences in attributes. Hence, it is always a good idea to check data to see if you need to transform the data and scale it before you run SVM.
During the GridSearchCV when I defined " C':[1,42,10]" (around 24th-minute mark) that line inside the Param only checks C values of 1, 42, and 10 rather than my intended purpose of checking values between 1 to 41 with an increment of 10. The correct way is to define a Numpy array as given below for C and coef0.
param={'kernel':('linear', 'poly', 'rbf', 'sigmoid'),
'C':np.arange(1,42,10),
'degree':np.arange(3,6),
'coef0':np.arange(0.001,3,0.5),
'gamma': ('auto', 'scale')}

[@christy00008]

it will be great that you can provide more videos like this.... thanks for share this one

[@chenlian2592]

Thanks for the nice explanation. Crystal clear!!

[@ijeffking]

Very well explained. Thank you so much.

[@mohammadtamimkashifi9570]

Excellent!

[@sadamassen4859]

Thank you

[@pavanaputqa]

I am getting error at 7th line i.e valueError: unknown label "continuous"

[@ugochukwu2585]

Hello, please do you also have a tutorial for SVR parameter optimization?..i'm having a hard time with SVR

[@pavanaputqa]

I got not fitted error while running confusion_matrix

[@ogunbarutcu4251]

Thanks for this video. I tried these two ways with my data, but python has been running for more than 60 hours and still, I couldn't get a result. Is this possible, or is there any mistake?

[@ismailcapar1103]

It really depends on the data size and your computer speed. You can try the algorithm with a small portion of the data to make sure your code works. Then you can upgrade to a faster computer or just wait.

[@akhilam5376]

@@ismailcapar1103 sir, please provide dataset link, I want to practice this code

[@AbdulQayyum-kd3gf]

excellent explanation

[@oozzar2841]

This is for mutliclass svm?

[@ragaistanto6722]

Mantap videonya.
Saya juga ada nih rekomendasi lain buat belajar Tuning Hyperparameter KNN pada python 3 siapa tau cocok hehe.
th-cam.com/video/IzwOkGuZpsE/w-d-xo.html