Machine Learning Process Step Model Evaluation Training Ppt
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This slide gives an overview of model evaluation. After you have trained your model, you will want to see how its doing. This is accomplished by assessing the models performance with unknown data. If testing is done on the same data used for training, you will get a disproportionately high level of precision. The program, in this case, is already familiar with data and sees the same patterns as it did previously.
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