Desglose de Partidos J26
1. AT.MADRID-VALENCIA
REGRESION 1-->0.759
NEURAL 1-->0.838
SMO 1-->0.667
RandomSubSpace 1-->0.727
VIAREGRESION 1-->0.749
FilteredClassifier 1-->0.68
MultiClassClassifier 1-->0.75
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 73.86% PX: 0.00% P2: 0.00%2. MALLORCA-ELCHE
REGRESION 1-->0.382
NEURAL 1-->0.467
SMO 1-->0.667
RandomSubSpace 1-->0.373
VIAREGRESION 1-->0.391
FilteredClassifier 1-->0.421
MultiClassClassifier 1-->0.38
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 44.01% PX: 0.00% P2: 0.00%3. BARCELONA-OSASUNA
REGRESION 1-->0.808
NEURAL 1-->0.841
SMO 1-->0.667
RandomSubSpace 1-->0.845
VIAREGRESION 1-->0.812
FilteredClassifier 1-->0.866
MultiClassClassifier 1-->0.803
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 80.60% PX: 0.00% P2: 0.00%4. GETAFE-ESPANYOL
REGRESION 1-->0.36
NEURAL 1-->0.424
SMO 1-->0.667
RandomSubSpace 1-->0.436
VIAREGRESION 1-->0.368
FilteredClassifier 1-->0.39
MultiClassClassifier 1-->0.355
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 42.86% PX: 0.00% P2: 0.00%5. SEVILLA-R.OVIEDO
REGRESION 1-->0.488
NEURAL 1-->0.541
SMO 1-->0.667
RandomSubSpace 1-->0.566
VIAREGRESION 1-->0.506
FilteredClassifier 1-->0.546
MultiClassClassifier 1-->0.492
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 54.37% PX: 0.00% P2: 0.00%6. CELTA-ATH.CLUB
REGRESION 1-->0.351
NEURAL 1-->0.437
SMO 1-->0.667
RandomSubSpace X-->0.387
VIAREGRESION 1-->0.357
FilteredClassifier 1-->0.39
MultiClassClassifier 1-->0.35
Resultado probable: 1X
Signos:UNO=6 EQUIS=1 DOS=0Media Probabilidades Modelos:P1: 42.53% PX: 38.70% P2: 0.00%7. LEVANTE-VILLARREAL
REGRESION 2-->0.59
NEURAL 2-->0.556
SMO 2-->0.667
RandomSubSpace 2-->0.561
VIAREGRESION 2-->0.581
FilteredClassifier 2-->0.567
MultiClassClassifier 2-->0.597
Resultado probable: 2
Signos:UNO=0 EQUIS=0 DOS=7Media Probabilidades Modelos:P1: 0.00% PX: 0.00% P2: 58.84%8. ALAVÉS-R.MADRID
REGRESION 2-->0.587
NEURAL 2-->0.535
SMO 2-->0.667
RandomSubSpace 2-->0.558
VIAREGRESION 2-->0.577
FilteredClassifier 2-->0.567
MultiClassClassifier 2-->0.591
Resultado probable: 2
Signos:UNO=0 EQUIS=0 DOS=7Media Probabilidades Modelos:P1: 0.00% PX: 0.00% P2: 58.31%9. SPORTING-GRANADA
REGRESION 1-->0.42
NEURAL 1-->0.459
SMO 1-->0.667
RandomSubSpace 1-->0.355
VIAREGRESION 1-->0.429
FilteredClassifier 1-->0.421
MultiClassClassifier 1-->0.42
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 45.30% PX: 0.00% P2: 0.00%10. VALLADOLID-ANDORRA FC
REGRESION 1-->0.58
NEURAL 1-->0.654
SMO 1-->0.667
RandomSubSpace 1-->0.509
VIAREGRESION 1-->0.575
FilteredClassifier 1-->0.546
MultiClassClassifier 1-->0.586
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 58.81% PX: 0.00% P2: 0.00%11. RACING S.-LEGANÉS
REGRESION 1-->0.518
NEURAL 1-->0.578
SMO 1-->0.667
RandomSubSpace 1-->0.558
VIAREGRESION 1-->0.521
FilteredClassifier 1-->0.546
MultiClassClassifier 1-->0.527
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 55.93% PX: 0.00% P2: 0.00%12. R.ZARAGOZA-CÁDIZ
REGRESION 1-->0.431
NEURAL 1-->0.48
SMO 1-->0.667
RandomSubSpace 1-->0.465
VIAREGRESION 1-->0.43
FilteredClassifier 1-->0.421
MultiClassClassifier 1-->0.432
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 47.51% PX: 0.00% P2: 0.00%13. ALMERÍA-BURGOS
REGRESION 1-->0.535
NEURAL 1-->0.566
SMO 1-->0.667
RandomSubSpace 1-->0.505
VIAREGRESION 1-->0.535
FilteredClassifier 1-->0.546
MultiClassClassifier 1-->0.539
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 55.61% PX: 0.00% P2: 0.00%14. CEUTA-LAS PALMAS
REGRESION 2-->0.35
NEURAL 1-->0.426
SMO 1-->0.667
RandomSubSpace 1-->0.462
VIAREGRESION 2-->0.345
FilteredClassifier 2-->0.355
MultiClassClassifier 2-->0.352
Resultado probable: 12
Signos:UNO=3 EQUIS=0 DOS=4Media Probabilidades Modelos:P1: 51.83% PX: 0.00% P2: 35.05%