No, you don't get 100% accurracy in this case. You don't even want that, it
would be a severe case of overfitting. You would have that only in the case
that your dataset is linearly separable or separable with a finely tuned
kernel, but in that case SVM would be an overkill and more traditional
met
Hi;
I am trying to train and predict with the same set. I expect that accuracy
shuld be %100, am i wrong?
If i try to predict with the same set; it is failing, also it classifies
like "-1" which is not in the training set.
What is wrong with this code?
Code:
def main(args: Array[String])
