Machine Learning for Mobile by Revathi Gopalakrishnan

Author:Revathi Gopalakrishnan
Language: eng
Format: epub
Tags: COM062000 - COMPUTERS / Data Modeling and Design, COM004000 - COMPUTERS / Intelligence (AI) and Semantics, COM051460 - COMPUTERS / Programming / Mobile Devices
Publisher: Packt
Published: 2019-04-24T07:36:42+00:00

Running and testing the model

When the model created by scikit-learn was executed and tested independently before converting it into the Core ML format, the following variance and mean square error were found:

The mean square error for the prepared model was 30.703232

The variance score was 0.68

The process finished with exit code 0

The following graph gives an idea of the predicted values versus the actual values:

Importing the model into the iOS project

The following is the project structure of the Xcode project where the .mlmodel file is imported and used for prediction:

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