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17 lines
491 B
17 lines
491 B
2 years ago
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# Exercise 1 Logistic regression in Scikit-learn
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The goal of this exercise is to learn to use Scikit-learn to classify data.
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```python
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X = [[0],[0.1],[0.2], [1],[1.1],[1.2], [1.3]]
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y = [0,0,0,1,1,1,0]
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```
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1. Fit a Logistic regression on X and y.
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2. Predict the class for `x_pred = [[0.5]]`.
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3. Predict the probabilities for `x_pred = [[0.5]]` using `predict_proba`.
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4. Print the coefficients (`coef_`), the intercept (`intercept_`) and the score of the logistic regression of X and y.
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