compare
compares NP classification methods and provide the regions where one method is better than the other. The two NP-ROC curves are both required to have band = TRUE.
1 |
roc1 |
the first nproc object. |
roc2 |
the second nproc object. |
plot |
whether to generate the two NP-ROC plots and mark the area of significant difference. Default = 'TRUE'. |
col1 |
the color of the region where roc1 is significantly better than roc2. Default = 'black'. |
col2 |
the color of the region where roc2 is significantly better than roc1. Default = 'red'. |
A list with the following items.
alpha1 |
the alpha values where roc1 is significantly better than roc2. |
alpha2 |
the alpha values where roc2 is significantly better than roc1. |
alpha3 |
the alpha values where roc1 and roc2 are not significantly different. |
confidence |
represents the confidence level. |
Xin Tong, Yang Feng, and Jingyi Jessica Li (2016), Neyman-Pearson (NP) classification algorithms and NP receiver operating characteristic (NP-ROC) curves, manuscript, http://arxiv.org/abs/1608.03109.
npc
, nproc
, predict.npc
and plot.nproc
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