Model Training

Training

For each job title, years of experience, city, and company, you can predict three separate target variables – mean, 25th percentile and 75th percentile of the salary derived from the known salary distribution. Essentially you would build a three separate model each with a different target.

Model Selection

You could consider the following model algorithms, and apply hyper-parameter tuning to find the optimal variance and bias trade-off in relation to the offline metric used to train the model. In industry setting, it’s common to see the following models in production:

• XGBoost
• Neural Network

Model Evaluation