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instead of
# Holdout split split = 0.7 d_train = d[:int(split*len(d))] d_test = d[int((1-split)*len(d)):]
shoud be the fiollowing code
# Holdout split split = 0.7 d = list(range(1, 10)) d_train = d[:int(split*len(d))] d_test = d[int((split)*len(d)):]
it breaks all the models in this part of book, the modes are overfitted Here is the simple example
# Holdout split split = 0.7 d = list(range(1, 10)) d_train = d[:int(split*len(d))] d_test = d[int((1-split)*len(d)):] print(d_train) print(d_test) [1, 2, 3, 4, 5, 6] [3, 4, 5, 6, 7, 8, 9]
The text was updated successfully, but these errors were encountered:
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instead of
shoud be the fiollowing code
it breaks all the models in this part of book, the modes are overfitted
Here is the simple example
The text was updated successfully, but these errors were encountered: