O'Reilly logo

Machine Learning Solutions by Jalaj Thanaki

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Best approach

As mentioned in the previous section, in this iteration, we will focus on feature transformation as well as implementing a voting classifier that will use the AdaBoost and GradientBoosting classifiers. Hopefully, by using this approach, we will get the best ROC-AUC score on the validation dataset as well as the real testing dataset. This is the best possible approach in order to generate the best result. If you have any creative solutions, you can also try them as well. Now we will jump to the implementation part.

Implementing the best approach

Here, we will implement the following techniques:

  • Log transformation of features
  • Voting-based ensemble model

Let's implement feature transformation first.

Log transformation of features

We will ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required