Description Usage Arguments Details Author(s) References See Also Examples
Plots a Rattle Risk Chart. Such a chart has been developed in a practical context to present the performance of data mining models to clients, plotting a caseload against performance, allowing a client to see the tradeoff between coverage and performance.
1 2 3 4 5 6 7  plotRisk(cl, pr, re, ri = NULL, title = NULL,
show.legend = TRUE, xleg = 60, yleg = 55,
optimal = NULL, optimal.label = "", chosen = NULL, chosen.label = "",
include.baseline = TRUE, dev = "", filename = "", show.knots = NULL,
show.lift=TRUE, show.precision=TRUE,
risk.name = "Risk", recall.name = "Recall",
precision.name = "Precision")

cl 
a vector of caseloads corresponding to different probability cutoffs. Can be either percentages (between 0 and 100) or fractions (between 0 and 1). 
pr 
a vector of precision values for each probability cutoff. Can be either percentages (between 0 and 100) or fractions (between 0 and 1). 
re 
a vector of recall values for each probability cutoff. Can be either percentages (between 0 and 100) or fractions (between 0 and 1). 
ri 
a vector of risk values for each probability cutoff. Can be either percentages (between 0 and 100) or fractions (between 0 and 1). 
title 
the main title to place at the top of the plot. 
show.legend 
whether to display the legend in the plot. 
xleg 
the x coordinate for the placement of the legend. 
yleg 
the y coordinate for the placement of the legend. 
optimal 
a caseload (percentage or fraction) that represents an
optimal performance point which is also plotted. If instead the value
is 
optimal.label 
a string which is added to label the line drawn as the optimal point. 
chosen 
a caseload (percentage or fraction) that represents a user chosen optimal performance point which is also plotted. 
chosen.label 
a string which is added to label the line drawn as the chosen point. 
include.baseline 
if TRUE (the default) then display the diagonal baseline. 
dev 
a string which, if supplied, identifies a device type as
the target for the plot. This might be one of 
filename 
a string naming a file. If 
show.knots 
a vector of caseload values at which a vertical line should be drawn. These might correspond, for example, to individual paths through a decision tree, illustrating the impact of each path on the caseload and performance. 
show.lift 
whether to label the right axis with lift. 
show.precision 
whether to show the precision plot. 
risk.name 
a string used within the plot's legend that gives a
name to the risk. Often the risk is a dollar amount at risk from a
fraud or from a bank loan point of view, so the default is

recall.name 
a string used within the plot's legend that gives a
name to the recall. The recall is often the percentage of cases that
are positive hits, and in practise these might correspond to known
cases of fraud or reviews where some adjustment to perhaps a incom tax
return or application for credit had to be made on reviewing the case,
and so the default is 
precision.name 
a string used within the plot's legend that gives a
name to the precision. A common name for precision is 
Caseload is the percentage of the entities in the dataset covered by the model at a particular probability cutoff, so that with a cutoff of 0, all (100%) of the entities are covered by the model. With a cutoff of 1 (0%) no entities are covered by the model. A diagonal line is drawn to represent a baseline random performance. Then the percentage of positive cases (the recall) covered for a particular caseload is plotted, and optionally a measure of the percentage of the total risk that is also covered for a particular caseload may be plotted. Such a chart allows a user to select an appropriate tradeoff between caseload and performance. The charts are similar to ROC curves. The precision (i.e., strike rate) is also plotted.
Package home page: https://rattle.togaware.com
evaluateRisk
, genPlotTitleCmd
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16  ## this is usually used in the context of the evaluateRisk function
## Not run: ev < evaluateRisk(predicted, actual, risk)
## imitate this output here
ev < NULL
ev$Caseload < c(1.0, 0.8, 0.6, 0.4, 0.2, 0)
ev$Precision < c(0.15, 0.18, 0.21, 0.25, 0.28, 0.30)
ev$Recall < c(1.0, 0.95, 0.80, 0.75, 0.5, 0.0)
ev$Risk < c(1.0, 0.98, 0.90, 0.77, 0.30, 0.0)
## plot the Risk Chart
plotRisk(ev$Caseload, ev$Precision, ev$Recall, ev$Risk,
chosen=60, chosen.label="Pr=0.45")
## Add a title
eval(parse(text=genPlotTitleCmd("Sample Risk Chart")))

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