SVM Classifier

[JoshitaReddy]

Hey guys
I have used a SVM classifier for predicting the career.
Support vector machines (SVMs) are a set of supervised learning methods used for classification and regression as well.

Support vector machines are:

• Effective in high dimensional spaces.
• Still effective in cases where number of dimensions is greater than the number of samples.
• Uses a subset of training points in the decision function (called support vectors), so it is also memory efficient.
• Versatile: different kernel functions can be specified for the decision function. Common kernels are provided, but it is also possible to specify custom kernels.

Do have a look at the link below for more information!
https://www.javatpoint.com/machine-learning-support-vector-machine-algorithm

[KeerthikaReddy02]

Nice! Please push the code for the same to this repo if you have deployed the model.

[JoshitaReddy]

Done!

[SaiRuthvik12]

That's great, have you checked the model accuracy? If so, then what method have you used and what is the accuracy value?

[JoshitaReddy]

I got 86.15% accuracy.
The metric I used is accuracy

where