Hi Timothy.
Without seeing the actual code, it is hard to guess what is happening.
Often there is some slight error in the processing that results in
strange outcomes.
Firstly, you could perform the splitting and scoring using the
cross_val_score function and using a RandomizedSplitCV with ju
I am having some confusing results arising when I am carrying out a permutation
exercise on my data using the SVC function from the sklearn.svm module. The
data I am using is quite large and has very high dimensionality, but I will try
to explain it briefly.
The dataset represent risk scores fo
