How to determine the correct kernel function

0 votes

I am trying to make a kind of image classification by using the Support Vector Machine. There are the kernel, gamma, and C functions. My question is how I can decide the correct kernel, gamma, and C parameters for this kind of classification.

Oct 11, 2020 in Machine Learning by Ogun
• 140 points

edited Oct 12, 2020 by MD 555 views

1 answer to this question.

0 votes

Hi@Ogun,

It depends on your dataset. First thing you need to do feature engineering in your dataset. After that, you can decide which model you should use.

answered Oct 12, 2020 by MD
• 95,460 points

Related Questions In Machine Learning

+1 vote
1 answer

how to analysis the heatmap to find the correlation

Hi @Vikas, there are 5 simple steps ...READ MORE

answered Sep 30, 2019 in Machine Learning by Vishal
10,454 views
0 votes
1 answer

How to extract the regression coefficient from statsmodels.api?

The coefficients can be obtained using the ...READ MORE

answered Mar 17, 2022 in Machine Learning by Dev
• 6,000 points
9,305 views
0 votes
2 answers
+1 vote
2 answers

how can i count the items in a list?

Syntax :            list. count(value) Code: colors = ['red', 'green', ...READ MORE

answered Jul 7, 2019 in Python by Neha
• 330 points

edited Jul 8, 2019 by Kalgi 4,364 views
0 votes
1 answer
0 votes
1 answer

How to import the BatchNormalization function in Keras?

Hi@akhtar, The general use case is to use ...READ MORE

answered Jul 29, 2020 in Machine Learning by MD
• 95,460 points
3,527 views
0 votes
1 answer

How to save machine learning model?

Hi@akhtar, To save your Machine Learning model, you ...READ MORE

answered Apr 13, 2020 in Machine Learning by MD
• 95,460 points
828 views
webinar REGISTER FOR FREE WEBINAR X
REGISTER NOW
webinar_success Thank you for registering Join Edureka Meetup community for 100+ Free Webinars each month JOIN MEETUP GROUP