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docs(linear-regression-with-scikit-learn): fix audits format

DEV-4049-remove-alcohol-terminology
eslopfer 2 years ago
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  1. 34
      subjects/ai/linear-regression/audit/README.md

34
subjects/ai/linear-regression/audit/README.md
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@ -2,7 +2,7 @@
#### Exercise 0: Environment and libraries #### Exercise 0: Environment and libraries
##### The exercice is validated is all questions of the exercice are validated ##### The exercise is validated is all questions of the exercise are validated
##### Activate the virtual environment. If you used `conda` run `conda activate your_env` ##### Activate the virtual environment. If you used `conda` run `conda activate your_env`
@ -10,7 +10,7 @@
###### Does it print `Python 3.x`? x >= 8 ###### Does it print `Python 3.x`? x >= 8
###### Does `import jupyter`, `import numpy`, `import pandas`, `import matplotlib` and `import sklearn` run without any error ? ###### Do `import jupyter`, `import numpy`, `import pandas`, `import matplotlib` and `import sklearn` run without any error?
--- ---
@ -18,13 +18,13 @@
#### Exercise 1: Scikit-learn estimator #### Exercise 1: Scikit-learn estimator
##### The question 1 is validated if the output is: ###### For question 1, is the output the following?
```python ```python
array([[3.96013289]]) array([[3.96013289]])
``` ```
##### The question 2 is validated if the output is: ###### For question 2, is the output the following?
```output ```output
Coefficients: [[0.99667774]] Coefficients: [[0.99667774]]
@ -38,23 +38,23 @@
#### Exercise 2: Linear regression in 1D #### Exercise 2: Linear regression in 1D
##### The exercise is validated is all questions of the exercise are validated ##### The exercise is validated if all questions of the exercise are validated
##### The question 1 is validated if the plot looks like: ###### For question 1, does the plot look like the following?
![alt text][q1] ![alt text][q1]
[q1]: ../w2_day1_ex2_q1.png "Scatter plot" [q1]: ../w2_day1_ex2_q1.png "Scatter plot"
###### The question 2 is validated if the equation of the fitted line is: `y = 42.619430291366946 * x + 99.18581817296929` ###### For question 2, is the equation of the fitted line the following? `y = 42.619430291366946 * x + 99.18581817296929`
###### The question 3 is validated if the plot looks like: ###### For question 3, does the plot look like the following?
![alt text][q3] ![alt text][q3]
[q3]: ../w2_day1_ex2_q3.png "Scatter plot + fitted line" [q3]: ../w2_day1_ex2_q3.png "Scatter plot + fitted line"
###### The question 4 is validated if the outputted prediction for the first 10 values are: ###### For question 4, is the outputted prediction for the first 10 values the following?
```python ```python
array([ 83.86186727, 140.80961751, 116.3333897 , 64.52998689, array([ 83.86186727, 140.80961751, 116.3333897 , 64.52998689,
@ -62,9 +62,9 @@ array([ 83.86186727, 140.80961751, 116.3333897 , 64.52998689,
108.06237908, 85.90762675]) 108.06237908, 85.90762675])
``` ```
###### The question 5 is validated if the MSE returned is `114.17148616819485` ###### For question 5, is the MSE returned `114.17148616819485`?
###### The question 6 is validated if the MSE returned is `2854.2871542048706` ###### For question 6, is the MSE returned `2854.2871542048706`?
--- ---
@ -72,7 +72,7 @@ array([ 83.86186727, 140.80961751, 116.3333897 , 64.52998689,
#### Exercise 3: Train test split #### Exercise 3: Train test split
##### The question 1 is validated if X_train, y_train, X_test, y_test match this output: ###### For question 1, do X_train, y_train, X_test, y_test match this output?
```console ```console
X_train: X_train:
@ -105,9 +105,9 @@ y_test:
#### Exercise 4: Forecast diabetes progression #### Exercise 4: Forecast diabetes progression
##### The exercice is validated is all questions of the exercice are validated ##### The exercise is validated if all questions of the exercise are validated
##### The question 1 is validated if the output of `y_train.values[:10]` and `y_test.values[:10]`are: ###### For question 1, is the output of `y_train.values[:10]` and `y_test.values[:10]` the following?
```console ```console
y_train.values[:10]: y_train.values[:10]:
@ -135,7 +135,7 @@ y_test:
[192.]] [192.]]
``` ```
##### The question 2 is validated if the coefficients and the intercept are: ###### For question 2, are the coefficients and the intercept the following?
```console ```console
[('age', -60.40163046086952), [('age', -60.40163046086952),
@ -151,7 +151,7 @@ y_test:
('intercept', 152.05314895029233)] ('intercept', 152.05314895029233)]
``` ```
##### The question 3 is validated if the output of `predictions_on_test[:10]` is: ###### For question 3, is the output of `predictions_on_test[:10]`?
```console ```console
array([[111.74351759], array([[111.74351759],
@ -166,7 +166,7 @@ y_test:
[224.83346984]]) [224.83346984]])
``` ```
##### The question 4 is validated if the mse on the **train set** is `2888.326888` and the mse on the **test set** is `2858.255153`. ###### For question 4, is the mse on the **train set** `2888.326888` and the mse on the **test set** `2858.255153`?
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