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@ -8,10 +8,8 @@ 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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1. Predict the class for `x_pred = [[0.5]]`. |
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2. Predict the class for `x_pred = [[0.5]]`. |
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2. Predict the probabilities for `x_pred = [[0.5]]` using `predict_proba`. |
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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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3. Print the coefficients (`coef_`), the intercept (`intercept_`) and the score of the logistic regression of X and y. |
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