Highlights
A. Introduction
This section should introduce the basic information of the application paper. It should cover the following:
1. Introduce the context or motivation.
2. Describe the research problem to be addressed.
3. Appraise the application of predictive modelling to solve the problem.
B. Data Understanding
This section should provide information about the data. It should cover but not limited to the following:
1. Describe the data characteristics (including data size, data measurement types, data quality issues, etc.)
2. Explain how the data are used for predictive modelling (e.g., data preparation, role setting, etc.).
C. Modelling and Result Illustration
This section should provide information about predictive modelling and prediction performance. It should cover the following:
1. Describe the predictive modelling design (e.g., selected models, parameter settings, etc.)
2. Analyse the modelling results.
3. Evaluate the effectiveness of the model in solving the problem.
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