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