Challenge: Implementing Logistic Regression

To implement Logistic Regression in Python, the LogisticRegression class is used:

For now, you can stick with the default parameters. Creating and fitting the model can be done in a single line:

python

The dataset for this chapter comes from a Portuguese banking institution and contains information from marketing campaigns conducted via phone calls. The goal is to predict whether a client will subscribe to a term deposit, based on their personal, financial, and contact-related details, as well as outcomes of previous marketing interactions.

The data is already preprocessed and ready to be fed to the model.

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Swipe to start coding

You are given a Portuguese bank marketing dataset stored as a DataFrame in the df variable.

Split the dataset into training and test sets, allocating 80% for the training data. Set random_state=42, and store the resulting sets in the X_train, X_test, y_train, y_test variables.
Initialize and fit a Logistic Regression model on the training set, storing the fitted model in the lr variable.
Calculate the accuracy on the test set and store the result in the test_accuracy variable.

Lösning

Byt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan

Var allt tydligt?

Tack för dina kommentarer!

Avsnitt 2. Kapitel 3

Challenge: Implementing Logistic Regression

To implement Logistic Regression in Python, the LogisticRegression class is used:

For now, you can stick with the default parameters. Creating and fitting the model can be done in a single line:

python

The data is already preprocessed and ready to be fed to the model.

Uppgift

Swipe to start coding

You are given a Portuguese bank marketing dataset stored as a DataFrame in the df variable.

Split the dataset into training and test sets, allocating 80% for the training data. Set random_state=42, and store the resulting sets in the X_train, X_test, y_train, y_test variables.
Initialize and fit a Logistic Regression model on the training set, storing the fitted model in the lr variable.
Calculate the accuracy on the test set and store the result in the test_accuracy variable.

Lösning

Byt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan

Var allt tydligt?

Tack för dina kommentarer!

Avsnitt 2. Kapitel 3

Byt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan