<HEADER> DataSetInfo : [tmva003_BDT] : Added class "Signal"
: Add Tree TreeS of type Signal with 6000 events
<HEADER> 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
<HEADER> 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
<HEADER> 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
:
<HEADER> 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
: ----------------------------------------
<HEADER> 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
: ----------------------------------------
<HEADER> DataSetFactory : [tmva003_BDT] :
:
<HEADER> Factory : Train all methods
<HEADER> Factory : [tmva003_BDT] : Create Transformation "I" with events from all classes.
:
<HEADER> : 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'
<HEADER> 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)...
<HEADER> 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
: -----------------------------
<HEADER> Factory : Train method: BDT for Classification
:
<HEADER> 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: 0.339 sec
<HEADER> BDT : [tmva003_BDT] : Evaluation of BDT on training sample (6000 events)
: Elapsed time for evaluation of 6000 events: 0.0361 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
<HEADER> Factory : Training finished
:
: Ranking input variables (method specific)...
<HEADER> 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
: --------------------------------------
<HEADER> 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 }