When we create a Good Product Model we want to test it with new samples knowing if they are good or bad. There is of course an uncertain area that we can calculate from experience we get from several evaluation.
In this Excel plot we see the values for "Max Peak T", for the training set (samples before Mars 2019) and new batches we consider are fine from Mars to June. There is a set of bad samples prepared with mixtures out of tolerance for a certain component or components of the mixture.
As we can see the model works in some cases but there are other that are misclassified, so we have to try other treatments or models to check if we can classify them better. Anyway there is always an uncertain zone and we have to check for confidence levels of the prediction.
In this Excel plot we see the values for "Max Peak T", for the training set (samples before Mars 2019) and new batches we consider are fine from Mars to June. There is a set of bad samples prepared with mixtures out of tolerance for a certain component or components of the mixture.
As we can see the model works in some cases but there are other that are misclassified, so we have to try other treatments or models to check if we can classify them better. Anyway there is always an uncertain zone and we have to check for confidence levels of the prediction.
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