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2.0 KiB
2.0 KiB
The exercice is validated is all questions of the exercice are validated
The question 1 is validated if the number of unique values per feature outputted are:
age 6
menopause 3
tumor-size 11
inv-nodes 6
node-caps 2
deg-malig 3
breast 2
breast-quad 5
irradiat 2
dtype: int64
The question 2 is validated if the transformed test set by the OneHotEncoder fitted on the train set is as below. Make sure the transformer takes as input a dataframe with the columns in the order defined ['node-caps' , 'breast', 'breast-quad', 'irradiat'] :
#First 10 rows:
array([[1., 0., 1., 0., 0., 1., 0., 0., 0., 1., 0.],
[1., 0., 1., 0., 0., 1., 0., 0., 0., 1., 0.],
[1., 0., 1., 0., 0., 0., 0., 1., 0., 1., 0.],
[1., 0., 0., 1., 0., 1., 0., 0., 0., 1., 0.],
[1., 0., 0., 1., 0., 0., 0., 1., 0., 1., 0.],
[1., 0., 0., 1., 0., 0., 1., 0., 0., 1., 0.],
[1., 0., 0., 1., 0., 0., 1., 0., 0., 1., 0.],
[1., 0., 0., 1., 0., 1., 0., 0., 0., 1., 0.],
[1., 0., 0., 1., 0., 0., 1., 0., 0., 1., 0.],
[0., 1., 1., 0., 0., 0., 1., 0., 0., 0., 1.]])
The question 3 is validated if the transformed test set by the OrdinalEncoder fitted on the train set is as below with the columns ordered as ["menopause", "age", "tumor-size","inv-nodes", "deg-malig"]:
#First 10 rows:
array([[1., 2., 5., 0., 1.],
[1., 3., 4., 0., 1.],
[1., 2., 4., 0., 1.],
[1., 3., 2., 0., 1.],
[1., 4., 3., 0., 1.],
[1., 4., 5., 0., 0.],
[2., 5., 4., 0., 1.],
[2., 5., 8., 0., 1.],
[0., 2., 3., 0., 2.],
[1., 3., 6., 4., 2.]])
The question 4 is validated if the column transformer transformed that is fitted on the X_train, transformed the X_test as:
# First 2 rows:
array([[1., 0., 1., 0., 0., 1., 0., 0., 0., 1., 0., 1., 2., 5., 0., 1.],
[1., 0., 1., 0., 0., 1., 0., 0., 0., 1., 0., 1., 3., 4., 0., 1.]])