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View Code? Open in Web Editor NEWTutorial material on machine learning with dirty data in Python
Home Page: http://dirtydata.science/python
License: BSD 2-Clause "Simplified" License
Tutorial material on machine learning with dirty data in Python
Home Page: http://dirtydata.science/python
License: BSD 2-Clause "Simplified" License
Hi,
thanks a bunch for these two super valuable blog posts. I learned a good portion while reading them.
I am currently working on dirty data, a table of 224 rows and 27 columns. I created a clean subset and was playing with HistGradientBoostingRegressor
.
I am not sure I understand this regressor yet completely, but I observe that it uses a half_least_squares
loss by default, so I'd expect that scores are always positive.
If I run similar code than yours, I get the following:
In [41]:
hgbr = HistGradientBoostingRegressor()
score_hgbr = cross_val_score(hgbr, clean_X, clean_y, cv=5)
score_hgbr
Out [43]:
array([-0.26472938, -0.1909843 , 0.24062092, -1.65719074, -0.40523002])
I am a bit irritated by the negative numbers in the scoring output. Any ideas where they may come from?
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