April 2018
Beginner to intermediate
500 pages
11h 26m
English
book
Hands-On Machine Learning on Google Cloud Platform
by Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier, Bryan Fry, Antonio Gulli
Content preview from Hands-On Machine Learning on Google Cloud Platform
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Measuring the accuracy of a model
The methods of evaluating the accuracy of a model differ between supervised learning and unsupervised learning.
In a typical linear regression (where continuous values are predicted), there are a couple of ways of measuring the error of the model. Typically, error is measured on the validation and testing datasets, as measuring error on a training dataset (the dataset using which a model is built) is misleading. Hence, error is always measured on the dataset that is not used to build a model.
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