Can I read Weighted GBM Lag 12 Analysis Results on EtoBox?

Weighted GBM Lag 12 Analysis Results by Shen Yen is a document available to read on EtoBox.

What is Weighted GBM Lag 12 Analysis Results about?

This document describes a weighted gradient boosted machine (GBM) analysis using lag 12 data to predict viscosity. It provides the top 30 predictor variables, a weight based on an exponential decay function of time elapsed, and the results of two trials using different predictor variable combinations. Both trials achieved a mean squared error around 266,000-269,000 and a root mean squared error around 19,200-19,350.

Author

Shen Yen

Language

EN