TMVA checks (19/11/18)
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Two inputs (signal + background)
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Fig 1 MLP shows the input data ( histxy) and
the selected components histxy0 and histxy1 for a neural net selection.
Fig 2 BDT shows the input data ( histxy) and
the selected components histxy0b and histxy1b for adaptive boost
( default constants).
Fig 3 BDT shows the input data ( histxy) and
the selected components histxy0b and histxy1b for adaptive boost
(constants times 3 ).
Fig 4 BDTB bagging (default constants).
Fig 5 BDTG gradient (default constants).
Fig 6 BDTD Fisher discriminant for node
splitting (default constants).
Three inputs ( 2 as signal, 1 as background and converse)
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Fig 1 MLP shows the input data ( histxy),
background (histxy0), signal(histxy0) and the NN response for
inputs 1 and 2 as signal and input 3 as background.
In contrast to Jetnet, separation into three signals in one
analysis does not appear possible.
Fig 2 MLP as previous, but defining the input 2 as signal and
inputs 1 and 3 as background. NN is 2 10 10 1 . Some miss-selection is evident.