MLG 032 Cartesian Similarity Metrics
Machine Learning Guide
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The Loss Function of a Regression Machine Learning Model
The two new words i want to introduce, which i'm sure you've seen before, mean squared error and mean absolute error. These you will be using as your error metric in training a machine learning model. The loss function is the sum euclidean distances from the predicted output to the actual output. For every prediction, take the actual numeric value, the label prediction minus label absolute, sum those up and then take the mean.
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