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Update README.md

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      piscine/week02/day03/ex05/audit/README.md

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piscine/week02/day03/ex05/audit/README.md
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@ -17,20 +17,20 @@ 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']` :
```console
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.]])
```
```console
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"]`:
@ -52,9 +52,9 @@ array([[1., 2., 5., 0., 1.],
##### The question 4 is validated if the column transformer transformed that is fitted on the X_train, transformed the X_test as:
```console
# First 2 rows:
```console
# 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.]])
```
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.]])
```

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