The Random Forest algorithm is used with the dataset considered in the following paper (available at https://ieee-dataport.org/open-access/crawdad-umkcnetworkslicing5g):
A. Thantharate, R. Paropkari, V. Walunj and C. Beard, "DeepSlice: A Deep Learning Approach towards an Efficient and Reliable Network Slicing in 5G Networks," 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), New York City, NY, USA, 2019, pp. 0762-0767, doi: 10.1109/UEMCON47517.2019.8993066.