DataSetInfo : [tmva003_BDT] : Added class "Signal" : Add Tree TreeS of type Signal with 6000 events

DataSetInfo : [tmva003_BDT] : Added class "Background" : Add Tree TreeB of type Background with 6000 events : Dataset[tmva003_BDT] : Class index : 0 name : Signal : Dataset[tmva003_BDT] : Class index : 1 name : Background

Factory : Booking method: BDT : : Rebuilding Dataset tmva003_BDT : Building event vectors for type 2 Signal : Dataset[tmva003_BDT] : create input formulas for tree TreeS : Building event vectors for type 2 Background : Dataset[tmva003_BDT] : create input formulas for tree TreeB

DataSetFactory : [tmva003_BDT] : Number of events in input trees : : : Dataset[tmva003_BDT] : Weight renormalisation mode: "EqualNumEvents": renormalises all event classes ... : Dataset[tmva003_BDT] : such that the effective (weighted) number of events in each class is the same : Dataset[tmva003_BDT] : (and equals the number of events (entries) given for class=0 ) : Dataset[tmva003_BDT] : ... i.e. such that Sum[i=1..N_j]{w_i} = N_classA, j=classA, classB, ... : Dataset[tmva003_BDT] : ... (note that N_j is the sum of TRAINING events : Dataset[tmva003_BDT] : ..... Testing events are not renormalised nor included in the renormalisation factor!) : Number of training and testing events : --------------------------------------------------------------------------- : Signal -- training events : 3000 : Signal -- testing events : 3000 : Signal -- training and testing events: 6000 : Background -- training events : 3000 : Background -- testing events : 3000 : Background -- training and testing events: 6000 :

DataSetInfo : Correlation matrix (Signal): : ---------------------------------------- : var1 var2 var3 var4 : var1: +1.000 +0.392 +0.592 +0.822 : var2: +0.392 +1.000 +0.680 +0.720 : var3: +0.592 +0.680 +1.000 +0.844 : var4: +0.822 +0.720 +0.844 +1.000 : ----------------------------------------

DataSetInfo : Correlation matrix (Background): : ---------------------------------------- : var1 var2 var3 var4 : var1: +1.000 +0.854 +0.913 +0.964 : var2: +0.854 +1.000 +0.925 +0.936 : var3: +0.913 +0.925 +1.000 +0.970 : var4: +0.964 +0.936 +0.970 +1.000 : ----------------------------------------

DataSetFactory : [tmva003_BDT] : :

Factory : Train all methods

Factory : [tmva003_BDT] : Create Transformation "I" with events from all classes. :

: Transformation, Variable selection : : Input : variable 'var1' <---> Output : variable 'var1' : Input : variable 'var2' <---> Output : variable 'var2' : Input : variable 'var3' <---> Output : variable 'var3' : Input : variable 'var4' <---> Output : variable 'var4'

TFHandler_Factory : Variable Mean RMS [ Min Max ] : ----------------------------------------------------------- : var1: -0.025840 1.6640 [ -4.8874 4.7639 ] : var2: -0.018356 1.5781 [ -5.2407 4.5241 ] : var3: -0.034388 1.7365 [ -5.3563 4.6430 ] : var4: 0.12114 2.1646 [ -6.3160 4.9600 ] : ----------------------------------------------------------- : Ranking input variables (method unspecific)...

IdTransformation : Ranking result (top variable is best ranked) : ----------------------------- : Rank : Variable : Separation : ----------------------------- : 1 : var4 : 3.521e-01 : 2 : var3 : 2.907e-01 : 3 : var1 : 2.648e-01 : 4 : var2 : 2.255e-01 : -----------------------------

Factory : Train method: BDT for Classification :

BDT : #events: (reweighted) sig: 3000 bkg: 3000 : #events: (unweighted) sig: 3000 bkg: 3000 : Training 300 Decision Trees ... patience please : Elapsed time for training with 6000 events: 0.291 sec

BDT : [tmva003_BDT] : Evaluation of BDT on training sample (6000 events)

BDT : [tmva003_BDT] : Evaluation of BDT on training sample (6000 events) : Elapsed time for evaluation of 6000 events: 0.0258 sec : Elapsed time for evaluation of 6000 events: 0.0258 sec : Creating xml weight file: tmva003_BDT/weights/tmva003_BDT.weights.xml : Creating standalone class: tmva003_BDT/weights/tmva003_BDT.class.C : TMVARR.root:/tmva003_BDT/Method_BDT/BDT

Factory : Training finished : : Ranking input variables (method specific)...

BDT : Ranking result (top variable is best ranked) : -------------------------------------- : Rank : Variable : Variable Importance : -------------------------------------- : 1 : var4 : 4.144e-01 : 2 : var1 : 2.524e-01 : 3 : var2 : 1.727e-01 : 4 : var3 : 1.606e-01 : --------------------------------------

Factory : === Destroy and recreate all methods via weight files for testing === : : Reading weight file: tmva003_BDT/weights/tmva003_BDT.weights.xml Single-event inference: 0.236928 RTensor input for inference on data of multiple events: { { -1.14361, -0.822373, -0.495426, -0.629427 } { 2.14344, -0.0189228, 0.26703, 1.26749 } { -0.443913, 0.486827, 0.139535, 0.611483 } } Prediction performed on multiple events: { 0.139826, -0.0423391, 0.224947 }