Hi,
I'm trying to get predictions from decision forest in Python using the attached script. The task is regression. I'm not sure if I'm using alglib correctly, because all of predictions are [0.0], even though avgerror and rmserror on test set are both < 0.1.
Specifically, what is x in dfprocessi - one data point, meaning a single row of attributes?
Code:
p = xalglib.dfprocessi( df, x )
Also, what should y be in dfprocess?
Code:
p = xalglib.dfprocess( df, x, y )
| Attachments: |
df.py.txt [881 Bytes]
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