Aaltonen, O., Technology, F. o. I., tiedekunta, I., laitos, T., Systems, D. o. C. S. a. I., Jyväskylä, U. o., & yliopisto, J. (2016). Comparing the forecasting performance of logistic regression and random forest models in criminal recidivism.
Chicago-viite (17. p.)Aaltonen, Olli-Pekka, Faculty of Information Technology, Informaatioteknologian tiedekunta, Tietojenkäsittelytieteiden laitos, Department of Computer Science and Information Systems, University of Jyväskylä, ja Jyväskylän yliopisto. Comparing the Forecasting Performance of Logistic Regression and Random Forest Models in Criminal Recidivism. 2016.
MLA-viite (9. p.)Aaltonen, Olli-Pekka, et al. Comparing the Forecasting Performance of Logistic Regression and Random Forest Models in Criminal Recidivism. 2016.