Journal of the Chinese Ceramic Society, Volume. 51, Issue 4, 1060(2023)
Classifying Model of Ancient Glass Products Based on Ensemble Feature Selection and Random Forest
[13] [13] LIU Yue, ZHAO Tianlu, YANG Guang. The onset temperature (Tg) of AsxSe1-x glasses transition prediction: A comparison of topological and regression analysis methods[J]. Comput Mater Sci, 2017, 140: 315-321.
[14] [14] LIU Yue, WU Junming, YANG Guang. Predicting the onset temperature (Tg) of GexSe1-x glass transition: A feature selection based two-stage support vector regression method[J]. Sci Bull, 2019, 64: 1195-1203.
[16] [16] RODRIGUEZ J D, PEREZ A, LOZANO J A. Sensitivity analysis of k-fold cross validation in prediction error estimation[J]. IEEE Trans Pattern Anal Mach Intell, 2010, 32(7): 569-575.
[18] [18] YOSHUA Bengjo, YVES Grandvalet. No unbiased estimator of the variance of k-fold cross-validation[J]. J Mach Learn Res, 2004, 5: 1089-1105.
Get Citation
Copy Citation Text
LU Jiajia. Classifying Model of Ancient Glass Products Based on Ensemble Feature Selection and Random Forest[J]. Journal of the Chinese Ceramic Society, 2023, 51(4): 1060
Category:
Received: Sep. 24, 2022
Accepted: --
Published Online: Apr. 15, 2023
The Author Email: Jiajia LU (luyoucan1988@163.com)
CSTR:32186.14.