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...n. Learning with continuous classes. Proceedings of the 5th Australian Joint Conference On Artificial Intelligence (1992) pp. 343-348 Quinlan. Combining instance-based and model-based learning. Proceedings of the Tenth International Conference on Machine Learning (1993) pp. 236-243 RuleQuest, the company that created the program, now have a version available under the GPL at: http://rulequest.com/cubist-info.html We've taken the Cubist GPL code and created an R interface. The package locations are: http://cran.r-project.org/web/packages/mvpart/index.html and https://r...

...n. Learning with continuous classes. Proceedings of the 5th Australian Joint Conference On Artificial Intelligence (1992) pp. 343-348 Quinlan. Combining instance-based and model-based learning. Proceedings of the Tenth International Conference on Machine Learning (1993) pp. 236-243 RuleQuest, the company that created the program, now have a version available under the GPL at: http://rulequest.com/cubist-info.html We've taken the Cubist GPL code and created an R interface. The package locations are: http://cran.r-project.org/web/packages/mvpart/index.html and https://r...

Hello, This is perhaps more of a regression question than R, but I am learning both, so would appreciate your wisdom here. I have some data which reflects power load for an electrical generating system, with some temporal features. The data fields look like this: D,MON,DAY,YR,HR,WDAY,DRYBULB,WETBULB,LOAD 4455 5 13 92 13 4 70 63 1617 4456 3 9 92 13 2 73