In my Load training examples I have a 9000 rows and the load test example there is a one rows. It is the problem?
The Columns of the 2 examples are the same.
So the training set, after removing the attributes
, has the same number of columns as the test set?
If the problem is the number of rows, how to create a decision tree for compare one multiple row file with a one row file?
The problem is not the number of rows.