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. Author manuscript; available in PMC: 2021 Nov 10.
Published in final edited form as: Stat Interface. 2019 Mar 11;12(2):283–293. doi: 10.4310/sii.2019.v12.n2.a9

Table 4.

Error rate in scoring TMA images. Note that the first row corresponds to results obtained by RF on the original set of features (i.e., without deep features).

Deep features # clusters
or leaf nodes
Error rate
24.79%
K-means 40 24.02%
Diana [10,40] 24.20%
Agenes [10,40] 24.14%
hclust [10,40] 24.29%
Agenes + Diana [10,40] 23.77%
Agenes + hclust [10,40] 23.71%
hclust + Diana [10,40] 23.52%
Agenes + Diana + hclust [10,40] 23.46%
rpTrees 30 23.28%