Cita APA (7a ed.)
Etzler, S., Schönbrodt, F. D., Pargent, F., Eher, R., & Rettenberger, M. (2024). Machine Learning and Risk Assessment: Random Forest Does Not Outperform Logistic Regression in the Prediction of Sexual Recidivism. Assessment, 31(2), 460-482.
Cita Chicago Style (17a ed.)
Etzler, Sonja, Felix D. Schönbrodt, Florian Pargent, Reinhard Eher, y Martin Rettenberger. "Machine Learning and Risk Assessment: Random Forest Does Not Outperform Logistic Regression in the Prediction of Sexual Recidivism." Assessment 31, no. 2 (2024): 460-482.
Cita MLA (9a ed.)
Etzler, Sonja, et al. "Machine Learning and Risk Assessment: Random Forest Does Not Outperform Logistic Regression in the Prediction of Sexual Recidivism." Assessment, vol. 31, no. 2, 2024, pp. 460-482.
Precaución: Estas citas no son 100% exactas.