Machine learning : SVM

SVM - Support Vector machines.

Different kernels - linear, rbf, poly etc.

Each Kernel is an additional parameter to SVM classifier to map data points to ta new dimensional space and then perform the classification.

Gamma more = ?

C value is more means that the error is more => More data points are correctly classified.

More the value of C does not gurantee an accurate classifier.

One needs to be careful of overfitting in machine learning.

For SVM overfitting the parameters in control are C, gamma, kernel used.

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