ch04-model-interface

Chapter 4 section on "class and directory structures for competitions": sample code

This is the sample code for the section in chapter 4 on "class and directory structures for competitions".

Input data is from the Kaggle competition Otto Group Product Classification Challenge. The code shows the process of training and making predictions using xgboost and keras.
Refer to https://github.com/puyokw/kaggle_Otto/ to understand parameters and modelling method.

Execute the code using the following steps

1. Download the Data and save in the input folder.
2. Make a code folder then execute python run.py.