Execution Time3.81s

Test: tutorial-mlp-mlpHiggs (Passed)
Build: v6-18-00-patches-x86_64-mac1015-clang110-opt (macitois17.cern.ch) on 2019-11-14 00:46:16

Test Timing: Passed
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Test output
Processing /Users/sftnight/build/night/LABEL/mac1015/SPEC/noimt/V/6-18/root/tutorials/mlp/mlpHiggs.C...
Training the Neural Network
Info in <TMultiLayerPerceptron::Train>: Using 979 train and 979 test entries.
Epoch: 0 learn=0.126094 test=0.125149
Epoch: 10 learn=0.097887 test=0.0922353
Epoch: 20 learn=0.0945652 test=0.08997
Epoch: 30 learn=0.092741 test=0.0881331
Epoch: 40 learn=0.0912165 test=0.087033
Epoch: 50 learn=0.0905272 test=0.0868747
Epoch: 60 learn=0.0901863 test=0.0865039
Epoch: 70 learn=0.0897728 test=0.0866805
Epoch: 80 learn=0.0894704 test=0.0869464
Epoch: 90 learn=0.0889717 test=0.0862
Epoch: 99 learn=0.0889232 test=0.0862297
Training done.
test.py created.
Network with structure: @msumf,@ptsumf,@acolin:5:3:type
inputs with low values in the differences plot may not be needed
@msumf -> 0.0142657 +/- 0.0170662
@ptsumf -> 0.0314845 +/- 0.0408437
@acolin -> 0.0271527 +/- 0.0446042