April 2019
Beginner to intermediate
252 pages
4h 40m
English
Content preview from Machine Learning for Data Mining
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Combining by highest confidence
This is another method of combining models. Consider the following table, for example:
In this example, we won't consider what the model is predicting; instead, we will just focus on high confidence values. If we look at the first row, each of the models has predicted Leave. But Model 1 has the highest confidence, and so the combined prediction is taken as Leave and the final confidence is the highest confidence acquired.
If we look at the second row, the model with highest confidence is Model 3 and it has predicted that the person is going to stay, and hence, the combined prediction becomes Stay and the final ...
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