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[D] SVM coefficients (Multiclass, RBF kernel)
Jan. 8, 2022, 2:14 p.m. | /u/chocolatelover94
Machine Learning www.reddit.com
Hey everyone,
I have trouble interpreting coefficient values of multiclass SVM with RBFkernel.
I have 5 classes and data with 12 features.
For non linear kernel like RBF, the weights(coefficients) are stored in
svm.support_vectors_
svm.dual_coef_
This is the support vectors and coefficients of my SVM model
I have two questions regarding to its shape and the values.
In the pic, support vectors are 4497x12 and dual_coef_ with 4x4497. I understand that it has 4497 support vectors …
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