Model Name: c3cf

Model Description

c3cf, Cascade Forest models for predicting the Compressive strength of Coal-ash-incorporated Cement composites, were developed in the research article: Coal ashes as supplementary cementitious materials: physicochemical property effects on hydration and strength, along with property-informed machine learning modeling. They are tree-based ensemble models that implements the deep forest algorithm.

• Developed by: Kangyi Cai @ Missouri S&T
• Model type: Cascade Forest
• Language(s): Python
• License: MIT

Uses & Limitations

c3cf can make reasonable predictions for coal-ash-incorporated cement mortars, whose strength is in the range of 15-65 MPa, replacement level of coal ash is <50% by mass, and curing age is between 7 and 91 days.

How to Get Started with the Model

This repository contains a collection of regression models located in the regs/ directory. Refer to the kycai/c3cf for detailed guides.

from huggingface_hub import snapshot_download
path = snapshot_download(repo_id="kycai23/c3cf")

Training & Evaluation

Refer to the research article mentioned above.