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Practical Predictive Analytics by Ralph Winters

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Plotting many rules

Plots are especially helpful for scenarios in which there are many rules generated, and you need to filter on specific support and confidence ranges.

Here is a plot that shows two of the three metrics, along the x and y axis, and the third metric (lift, support, or confidence) as shading:

sel <- plot(many_rules, measure = c("support", "confidence"), shading = "lift",  interactive = FALSE)

As the following plot suggests, there is a cluster of rules with high lift (>8), high confidence (> 0.6), but all with low support:

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