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Now that we have the data in a Spark dataframe we need to define the different stages in which we want to transform the data and then use it to get the predicted label from our model. And suddenly the Confusion matrix is not so confusing any more.
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We will soon come out with an article on the AUC-ROC curve and continue our discussion there.
. This article should give you a solid base on how to intepret and use a confusion matrix for classification algorithms in machine learning. Defining the Stages of our Machine Learning Pipeline.
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