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 Style (17th ed.) CitationAaltonen, Olli-Pekka, Faculty of Information Technology, Informaatioteknologian tiedekunta, Tietojenkäsittelytieteiden laitos, Department of Computer Science and Information Systems, University of Jyväskylä, and Jyväskylän yliopisto. Comparing the Forecasting Performance of Logistic Regression and Random Forest Models in Criminal Recidivism. 2016.
MLA (9th ed.) CitationAaltonen, Olli-Pekka, et al. Comparing the Forecasting Performance of Logistic Regression and Random Forest Models in Criminal Recidivism. 2016.