September 2018
Beginner to intermediate
154 pages
3h 51m
English
Content preview from Mastering Predictive Analytics with scikit-learn and TensorFlow
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Training your model
The following model is a new module, as it has different features compared to the other models. Since the features have changed, we need to find the best hyperparameters for the RandomForestClassifier module using the GridSearchCV module. So, perhaps the previously found best parameters are not the best for these new features; therefore, we will run the GridSearchCV algorithm again:
As shown in the following screenshot, in this case the best combination of parameters for these new features is max _depth of 30, max_features in auto, and n_estimators (number of estimators) should be 100:
Now, let's evaluate this new model ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.