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. Author manuscript; available in PMC: 2018 Mar 27.
Published in final edited form as: Comput Intell Methods Bioinform Biostat. 2017 Oct 17;10477:42–58. doi: 10.1007/978-3-319-67834-4_4

Table 2.

Accuracies of ten trials of three-fold cross-validation in prostate. Validation and test accuracies for a single slide video of prostate adenocarcinoma (patient 1, slide at upper right in Fig 2, performance plotted at right in Fig 9)), left side of the slide versus right side.

Testing the best classifier on draws of the data on the second prostate patient, accuracies are 0.944, 1, 0.944, 0.944, 1, 0.944, 0.944, 0.944, 1, and 1.

Direction Trial Fold0 Valid Fold1 Valid Fold2 Valid Valid Acc Fold0 Test Fold1 Test Fold2 Test Test Acc
leftright 0 0.9992 0.9946 1.0000 0.9979 0.7778 0.7778 0.7778 0.7778
leftright 1 0.9512 0.7282 0.9994 0.8929 0.8889 0.8889 0.8889 0.8889
leftright 2 0.9550 1.0000 0.6530 0.8693 0.8889 0.7778 0.7222 0.7778
leftright 3 0.8636 0.9992 1.0000 0.9543 0.8889 0.7778 0.9444 0.9444
leftright 4 0.8276 0.7760 0.9940 0.8659 0.8889 0.7778 0.8889 0.8889
leftright 5 0.8654 0.9986 1.0000 0.9547 0.9444 0.9444 0.9444 0.9444
leftright 6 0.8560 0.9862 0.9992 0.9471 0.8889 0.8889 0.8889 0.8889
leftright 7 0.8674 1.0000 0.9984 0.9553 0.8889 0.8333 0.8889 0.8333
leftright 8 0.9560 0.8560 0.8760 0.8960 0.8889 0.8333 0.9444 0.8889
leftright 9 0.6846 0.9992 0.9560 0.8799 0.8333 0.8333 1.0000 0.8333
rightleft 0 0.9786 0.7760 0.9146 0.8897 0.8889 0.9444 1.0000 0.8889
rightleft 1 1.0000 0.7292 0.8460 0.8584 1.0000 0.9444 1.0000 1.0000
rightleft 2 0.7130 0.9512 0.8676 0.8439 0.8889 1.0000 0.8333 1.0000
rightleft 3 0.9998 1.0000 0.9664 0.9887 0.9444 0.9444 1.0000 0.9444
rightleft 4 0.7760 1.0000 0.8842 0.8867 0.8889 0.9444 1.0000 0.9444
rightleft 5 0.9758 0.9984 0.5926 0.8556 0.9444 0.8889 0.9444 0.8889
rightleft 6 0.6344 0.9770 1.0000 0.8705 0.8889 1.0000 1.0000 1.0000
rightleft 7 0.7760 0.9028 1.0000 0.8929 0.8889 1.0000 1.0000 1.0000
rightleft 8 0.8560 0.8560 0.9992 0.9037 0.9444 0.9444 0.9444 0.9444
rightleft 9 0.8560 0.9412 0.8538 0.8837 1.0000 1.0000 1.0000 1.0000