Execution Time2.96s

Test: tutorial-legacy-mlp-mlpHiggs (Passed)
Build: master-x86_64-mac1014-clang100-opt-exp-cxxmod (macitois21.cern.ch) on 2019-11-14 00:07:23

Test Timing: Passed
Processors1

Show Command Line
Display graphs:

Test output
Processing /build/jenkins/night/LABEL/mac1014/SPEC/cxxmod-noimt/root/tutorials/legacy/mlp/mlpHiggs.C...
accessing mlpHiggs.root file from http://root.cern.ch/files
Info in <TMultiLayerPerceptron::Train>: Using 979 train and 979 test entries.
Training the Neural Network
Epoch: 0 learn=0.127002 test=0.126032
Epoch: 10 learn=0.0938422 test=0.089153
Epoch: 20 learn=0.0922897 test=0.0882725
Epoch: 30 learn=0.091361 test=0.0885712
Epoch: 40 learn=0.0911167 test=0.0883185
Epoch: 50 learn=0.0909461 test=0.0879864
Epoch: 60 learn=0.0908006 test=0.0872009
Epoch: 70 learn=0.090727 test=0.0872318
Epoch: 80 learn=0.0904789 test=0.0868655
Epoch: 90 learn=0.0903146 test=0.0864361
Epoch: 99 learn=0.0896603 test=0.0872254
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 -> 0.0153052 +/- 0.0244588
@ptsumf -> 0.0269742 +/- 0.044297
@acolin -> 0.0213069 +/- 0.031601