|
Download README.md from HeLinx/MasterThesis_RF_2000: direct link, hf CLI and curl.
- Browser
- Download file 499 Bytes
-
https://huggingface.co/HeLinx/MasterThesis_RF_2000/resolve/main/README.md
- Command line
-
hf download hf://HeLinx/MasterThesis_RF_2000/README.md
-
curl -L -o README.md https://huggingface.co/HeLinx/MasterThesis_RF_2000/resolve/main/README.md
499 Bytes
| This repository contains the Random Forest algorithm for the Master thesis on the topic | |
| of automated scoring of Divergent Thinking tasks, with focus on the | |
| Alternative Use Task (AUT). The training of the algorithm is oriented on previous research: | |
| **Random Forest & feature engineering** | |
| - Buczak, P., Huang, H., Forthmann, B. Doebler, P (2022). The | |
| machines take over: A comparison of various supervised learning approaches for | |
| automated scoring of divergent thinking tasks. | |
| https://osf.io/4sbhn/ |