AutokRF: Automated Local Random Forests for Large-Scale Classification
The results demonstrate that autokRF is a scalability-oriented framework for large-scale classification that automatically tunes key hyper-parammeters, eliminating the complex and time-consuming manual tuning process required from data scientists.