When I do gs.best_estimator_ the output I see is SVC(C=5.0)
params I have used is
params = [
{
‘kernel’:[‘linear’,‘rbf’,‘poly’,‘sigmoid’],
‘C’ : [0.1,0.2,0.4,0.5,1.0,2.0,5.0]
}
]
When I do gs.best_estimator_ the output I see is SVC(C=5.0)
params I have used is
params = [
{
‘kernel’:[‘linear’,‘rbf’,‘poly’,‘sigmoid’],
‘C’ : [0.1,0.2,0.4,0.5,1.0,2.0,5.0]
}
]
Yes… In the video…using best_estimator_ gives a different output with many other parameters…like kernel used etc…But I dont dont see any of this in my output.