Anwar et al. trained and tested their machine learning models for predicting concrete compressive strength using a dataset of 695 data points, split into 70% training data and 30% testing data, utilizing seven independent variables and five metrics.

Authors

• Person: Nilanjan Dey, Shakshi Bhardwaj, Pradip K. Maji Organization: RSC Sustainability
  Recent breakthroughs in the valorization of lignocellulosic biomass ...

Sources

• Recent breakthroughs in the valorization of lignocellulosic biomass ... pubs.rsc.org Nilanjan Dey, Shakshi Bhardwaj, Pradip K. Maji · RSC Sustainability via serper

Referenced by nodes (1)

• machine learning models concept