June 2020
Intermediate to advanced
382 pages
11h 39m
English
Once the labeled data is prepared, the development of the classifiers involves training, evaluation, and deployment. These three phases of implementing a classifier are shown in the CRISP-DM (Cross-Industry Standard Process for Data Mining) life cycle in the following diagram (the CRISP-DM life cycle was explained in more detail in Chapter 5, Graph Algorithms)

In the first two phases of implementing a classifier—the testing and training phases—we use labeled data. The labeled data is divided into two partitions—a larger partition called the training data and a smaller partition called the testing data. ...
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