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Machine Learning for Healthcare Analytics Projects
book

Machine Learning for Healthcare Analytics Projects

by Eduonix Learning Solutions
October 2018
Intermediate to advanced
134 pages
2h 39m
English
Packt Publishing
Content preview from Machine Learning for Healthcare Analytics Projects

Splitting the dataset into training and testing datasets

Before we can begin training our neural network, we need to split the dataset into training and testing datasets. This will allow us to test our network after we are done training in order to determine how well it will generalize new data. This step is incredibly easy when using the train_test_split() function provided by scikit-learn. So, we reserve some of the data that we have to test so that we can see how well our algorithm is performing.

  1. To do that, we will import the model_selection package from sklearn. From this package, we're going to use the train_test_split function. The following lines of code show us how to split the data into the required training and testing sets:
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Publisher Resources

ISBN: 9781789536591