Machine Learning for Mobile

Evaluation of the model

There should be a process to test machine learning algorithms and discover whether or not we have chosen the right algorithms, and to validate the output the algorithm provides against the problem statement.

This is the last step in the machine learning process, where we check the accuracy with the defined threshold for success criteria and, if the accuracy is greater than or equal to the threshold, then we are done. If not, we need to start all over again with a different machine learning algorithm, different parameter settings, more data, and changed data transformation. All steps in the entire machine learning process can be repeated, or a subset of it can be repeated. These are repeated till we come to the definition ...