References
Aeberhard, Stefan, and M. Forina. 1992. “Wine.” UCI Machine Learning Repository. https://doi.org/10.24432/C5PC7J.
Alpaydin, E., and C. Kaynak. 1998. “Optical Recognition of Handwritten Digits.” UCI Machine Learning Repository. https://doi.org/10.24432/C50P49.
Anaconda Team. 2025. Anaconda. https://www.anaconda.com/.
Becker, Barry, and Ronny Kohavi. 1996. “Adult.” UCI Machine Learning Repository.
Fisher, Ronald A. 1936. “The Use of Multiple Measurements in Taxonomic Problems.” Annals of Eugenics 7 (2): 179–88.
Gama, João, Indrė Žliobaitė, Albert Bifet, Mykola Pechenizkiy, and Abdelhamid Bouchachia. 2014. “A Survey on Concept Drift Adaptation.” ACM Computing Surveys (CSUR) 46 (4): 1–37.
Garcia-Ceja, Enrique. 2021. Behavior Analysis with Machine Learning Using R.
Guigui14460. 2021. Differences in Scores Between Two Different Versions. https://github.com/scikit-learn/scikit-learn/issues/20042.
Jupyter Team. 2025. Jupyter. https://jupyter.org/.
Kwapisz, Jennifer R., Gary M. Weiss, and Samuel A. Moore. 2010. “Activity Recognition Using Cell Phone Accelerometers.” In Proceedings of the Fourth International Workshop on Knowledge Discovery from Sensor Data (at KDD-10), Washington DC.
Lu, Jie, Anjin Liu, Fan Dong, Feng Gu, Joao Gama, and Guangquan Zhang. 2018. “Learning Under Concept Drift: A Review.” IEEE Transactions on Knowledge and Data Engineering 31 (12): 2346–63.
Pace, R Kelley, and Ronald Barry. 1997. “Sparse Spatial Autoregressions.” Statistics & Probability Letters 33 (3): 291–97.
scikit-learn-model-persistence. 2025. Model Persistence. https://scikit-learn.org/stable/model_persistence.html.
Van Engelen, Jesper E, and Holger H Hoos. 2020. “A Survey on Semi-Supervised Learning.” Machine Learning 109 (2): 373–440.
Wolberg, William., Olvi. Mangasarian, Nick. Street, and W. Street. 1993. “Breast Cancer Wisconsin (Diagnostic).” UCI Machine Learning Repository. https://doi.org/10.24432/C5DW2B.
ydata-profiling team. 2025. Ydata-Profiling Python Package. https://github.com/ydataai/ydata-profiling.