Duwe, G., & Kim, K. (2017). Out With the Old and in With the New? An Empirical Comparison of Supervised Learning Algorithms to Predict Recidivism. Criminal justice policy review, 28(6), 570-600. doi:10.1177/0887403415604899
Chicago-Zitierstil (17. Ausg.)Duwe, Grant, und KiDeuk Kim. "Out With the Old and in With the New? An Empirical Comparison of Supervised Learning Algorithms to Predict Recidivism." Criminal Justice Policy Review 28, no. 6 (2017): 570-600. https://doi.org/10.1177/0887403415604899.
MLA-Zitierstil (9. Ausg.)Duwe, Grant, und KiDeuk Kim. "Out With the Old and in With the New? An Empirical Comparison of Supervised Learning Algorithms to Predict Recidivism." Criminal Justice Policy Review, vol. 28, no. 6, 2017, pp. 570-600, https://doi.org/10.1177/0887403415604899.