LightGBM is one of the gradient boosting algorithms. Compared with traditional gradient boosting, LightGBM has the following characteristics:
• Faster training speed
• Use less memory
• Higher accuracy
• Supports parallel and GPU training
• Suitable for processing big data Because LightGBM is a gradient boosting decision tree, it can be used for classification and regression problems.
ORAI integrates LightGBM into the software. Users only need to prepare data and complete the data analysis through the ORAI process.
An example of this solution is to enter a passenger number, cabin class, age, fare, and gender to predict whether a passenger will survive.