Title: SVC-Scikit Learn issue
Since it cannot used sparse input on dense data, either convert your dense data to sparse data (recommended) or your sparse data to dense data. Use SciPy to create a sparse matrix from a dense one.
I am getting this error in Scikit learn. Previously I worked with K validation, and never encountered error. My data is sparse and training and testing set is divided in the ratio 90:10
ValueError: cannot use sparse input in 'SVC' trained on dense data
Is there any straightforward reason and solution for this?