Cubist (version 0.3.0)

dotplot.cubist: Visualization of Cubist Rules and Equations

Description

Lattice dotplots of the rule conditions or the linear model coefficients produced by cubist() objects

Usage

# S3 method for cubist
dotplot(x, data = NULL, what = "splits", committee = NULL, rule = NULL, ...)

Arguments

x

a cubist() object

data

not currently used (here for lattice compatibility)

what

either "splits" or "coefs"

committee

which committees to plot

rule

which rules to plot

…

options to pass to lattice::dotplot()

Value

a lattice::dotplot() object

Details

For the splits, a panel is created for each predictor. The x-axis is the range of the predictor scaled to be between zero and one and the y-axis has a line for each rule (within each committee). Areas are colored as based on their region. For example, if one rule has var1 < 10, the linear for this rule would be colored. If another rule had the complementary region of var1 <= 10, it would be on another line and shaded a different color.

For the coefficient plot, another dotplot is made. The layout is the same except the the x-axis is in the original units and has a dot if the rule used that variable in a linear model.

References

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

See Also

cubist(), cubistControl(), predict.cubist(), summary.cubist(), predict.cubist(), lattice::dotplot()

Examples

# NOT RUN {
library(mlbench)
data(BostonHousing)

## 1 committee and no instance-based correction, so just an M5 fit:
mod1 <- cubist(x = BostonHousing[, -14], y = BostonHousing$medv)
dotplot(mod1, what = "splits")
dotplot(mod1, what = "coefs")

## Now with 10 committees
mod2 <- cubist(x = BostonHousing[, -14], 
               y = BostonHousing$medv, 
               committees = 10)
dotplot(mod2, scales = list(y = list(cex = .25)))
dotplot(mod2, what = "coefs", 
        between = list(x = 1, y = 1),
        scales = list(x = list(relation = "free"), 
                      y = list(cex = .25)))

# }