Timeline violation

To illustrate the importance of the timeline, consider an example where you violate the timeline and use information from the target period to construct the predictive variables.

There are two columns in the pandas dataframe basetable: "amount_2017" is the total amount of donations in 2017, and "target" is 1 if this amount is larger than 30 and 0 else.

Construct a logistic regression model that uses "amount_2017" as single predictive variable to predict the target, and calculate the AUC.

Cet exercice fait partie du cours

Intermediate Predictive Analytics in Python

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Instructions

Create a dataframe X that contains the predictive variable and a dataframe y that contains the target.
Fit the logistic regression model such that y is predicted from X. Construct a logistic regression model that uses amount_2017 as single predictive variable and predicts target.
Make predictions for the objects in X.
Calculate and print the AUC of this model using the function roc_auc_score.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# Select the relevant predictors and the target
X = basetable[["____"]]
y = basetable[["____"]]

# Build the logistic regression model
logreg = linear_model.LogisticRegression()
logreg.____(____, ____)

# Make predictions for X
predictions = logreg.____(____)[:,1]

# Calculate and print the AUC value
auc = ____(____, ____)
print(round(auc, 2))

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