Description Usage Arguments Details Value Author(s) References See Also Examples
Predicted values based on a cubist object.
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object |
an object of class |
newdata |
a data frame of predictors (in the same order as the original training data) |
neighbors |
an integer from 0 to 9: how many instances to use to correct the rule-based prediction? |
... |
other options to pass through the function (not currently used) |
Prediction using the parametric model are calculated using the method of Quinlan (1992). If neighbors
is greater than zero, these predictions are adjusted by training set instances nearby using the approach of Qunilan (1993).
a numeric vector is returned
R code by Max Kuhn, original C sources by R Quinlan and modifications be Steve Weston
Quinlan. 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
Quinlan. C4.5: Programs For Machine Learning (1993) Morgan Kaufmann Publishers Inc. San Francisco, CA
http://rulequest.com/cubist-info.html
cubist
, cubistControl
, summary.cubist
, predict.cubist
, dotplot.cubist
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