1. Học hỏi
    2. /
  2. Khoa Học
    3. /
  3. Supervised Learning with scikit-learn
Connected

Bài tập

k-Nearest Neighbors: Fit

In this exercise, you will build your first classification model using the churn_df dataset, which has been preloaded for the remainder of the chapter.

The target, "churn", needs to be a single column with the same number of observations as the feature data. The feature data has already been converted into numpy arrays.

"account_length" and "customer_service_calls" are treated as features because account length indicates customer loyalty, and frequent customer service calls may signal dissatisfaction, both of which can be good predictors of churn.

Hướng dẫn

100 XP
  • Import KNeighborsClassifier from sklearn.neighbors.
  • Instantiate a KNeighborsClassifier called knn with 6 neighbors.
  • Fit the classifier to the data using the .fit() method.