In [25]: #Get error of Standardization>PCA>Random Forest pipeline y_train) scale_pca_pipe_forest.fit(X_train_3, scale_pca_pipe_forest_test_predictions = scale_pca_pipe_forest.predict (X_test_3) mean_absolute_error(y_test, scale_pca_pipe_forest_test_predictions) NameError Input In [25], in () Traceback (most recent call last) 1 #Get error of Standardization>PCA>Random Forest pipeline ----> 2 scale_pca_pipe_forest. fit (x_train_3, y_train) 3 scale_pca_pipe_forest_test_predictions = scale_pca_pipe_forest.predict (x_test_3) 4 mean absolute_error(y_test, scale_pca_pipe_forest_test_predictions) NameError: name 'scale_pca_pipe_forest' is not defined
In [25]: #Get error of Standardization>PCA>Random Forest pipeline y_train) scale_pca_pipe_forest.fit(X_train_3, scale_pca_pipe_forest_test_predictions = scale_pca_pipe_forest.predict (X_test_3) mean_absolute_error(y_test, scale_pca_pipe_forest_test_predictions) NameError Input In [25], in () Traceback (most recent call last) 1 #Get error of Standardization>PCA>Random Forest pipeline ----> 2 scale_pca_pipe_forest. fit (x_train_3, y_train) 3 scale_pca_pipe_forest_test_predictions = scale_pca_pipe_forest.predict (x_test_3) 4 mean absolute_error(y_test, scale_pca_pipe_forest_test_predictions) NameError: name 'scale_pca_pipe_forest' is not defined
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
Related questions
Question
Please help to show example coding Jupyter notebook (Python), the error comes from where and how to fixed?
![Forest pipeline
In [25]: #Get error of Standardization>PCA>Random
scale_pca_pipe_forest.fit (X_train_3, y_train)
scale_pca_pipe_forest_test_predictions = scale_pca_pipe_forest.predict(x_test_3)
mean_absolute_error(y_test, scale_pca_pipe_forest_test_predictions)
Name Error
Input In [25], in <cell line: 2>()
Traceback (most recent call last)
1 #Get error of Standardization>PCA>Random Forest pipeline
---> 2 scale_pca_pipe_forest.fit(x_train_3, y_train)
3 scale_pca_pipe_forest_test_predictions = scale_pca_pipe_forest.predict (x_test_3)
4 mean_absolute_error(y_test, scale_pca_pipe_forest_test_predictions)
NameError: name 'scale_pca_pipe_forest' is not defined](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F83788746-e99b-4190-8f99-1d7754d5a56d%2Fb6670486-9bc2-4d00-a31e-e4ae4e4d54ce%2Fauzz5td_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Forest pipeline
In [25]: #Get error of Standardization>PCA>Random
scale_pca_pipe_forest.fit (X_train_3, y_train)
scale_pca_pipe_forest_test_predictions = scale_pca_pipe_forest.predict(x_test_3)
mean_absolute_error(y_test, scale_pca_pipe_forest_test_predictions)
Name Error
Input In [25], in <cell line: 2>()
Traceback (most recent call last)
1 #Get error of Standardization>PCA>Random Forest pipeline
---> 2 scale_pca_pipe_forest.fit(x_train_3, y_train)
3 scale_pca_pipe_forest_test_predictions = scale_pca_pipe_forest.predict (x_test_3)
4 mean_absolute_error(y_test, scale_pca_pipe_forest_test_predictions)
NameError: name 'scale_pca_pipe_forest' is not defined
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