Python Machine Learning for Beginners by AI Publishing

Author:AI Publishing
Language: eng
Format: epub, mobi
Publisher: AI Publishing

Root Mean Squared Error

Root Mean Squared Error is simply the under root of mean squared error and can be calculated as follows:

The methods used to find the value for these metrics are available in sklearn.metrics class. The predicted and actual values have to be passed to these methods, as shown in the output.

Script 15:

1. from sklearn import metrics

2.

3. print(‘Mean Absolute Error:’, metrics.mean_absolute_error(y_test, y_pred))

4. print(‘Mean Squared Error:’, metrics.mean_squared_error(y_test, y_pred))

5. print(‘Root Mean Squared Error:’, np.sqrt(metrics.mean_squared_error(y_test, y_pred)))

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.