DF_ConfPlot_accu: Decision Forest algorithm: confidence level accumulated plot...
In seldas/Dforest: Decision Forest
Description
Usage
Arguments
Value
Description
Draw accuracy curve according to the confidence level of predictions
Usage
1
DF_ConfPlot_accu(Pred_result, Label, bin = 20, plot = T, smooth = F)
Arguments
Pred_result
Predictions
Label
known label for Test Dataset
bin
How many bins occurred in Conf Plot (Default is 20)
plot
Draw Plot if True, otherwise output the datamatrix
smooth
if TRUE, Fit the performance curve with smooth function (by ggplot2)
Value
ACC_Conf: return data Matrix ("ConfidenceLevel", "Accuracy", "Matched Samples") for confidence plot (no plot)
ConfPlot: Draw Confidence Plot if True, need install ggplot2
seldas/Dforest documentation built on May 30, 2019, 8:08 p.m.
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Description Usage Arguments Value
Description
Draw accuracy curve according to the confidence level of predictions
Usage
1 | DF_ConfPlot_accu(Pred_result, Label, bin = 20, plot = T, smooth = F)
|
Arguments
Pred_result |
Predictions |
Label |
known label for Test Dataset |
bin |
How many bins occurred in Conf Plot (Default is 20) |
plot |
Draw Plot if True, otherwise output the datamatrix |
smooth |
if TRUE, Fit the performance curve with smooth function (by ggplot2) |
Value
ACC_Conf: return data Matrix ("ConfidenceLevel", "Accuracy", "Matched Samples") for confidence plot (no plot)
ConfPlot: Draw Confidence Plot if True, need install ggplot2
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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