Desglose de Partidos J5
1. GETAFE-R.OVIEDO
REGRESION 1-->0.468
NEURAL 1-->0.49
SMO 1-->0.667
RandomSubSpace 1-->0.5
VIAREGRESION 1-->0.483
FilteredClassifier 1-->0.546
MultiClassClassifier 1-->0.466
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 51.71% PX: 0.00% P2: 0.00%2. LEVANTE-BETIS
REGRESION 2-->0.431
NEURAL 2-->0.422
SMO 2-->0.667
RandomSubSpace 2-->0.47
VIAREGRESION 2-->0.432
FilteredClassifier 2-->0.474
MultiClassClassifier 2-->0.439
Resultado probable: 2
Signos:UNO=0 EQUIS=0 DOS=7Media Probabilidades Modelos:P1: 0.00% PX: 0.00% P2: 47.64%3. AT.MADRID-VILLARREAL
REGRESION 1-->0.522
NEURAL 1-->0.522
SMO 1-->0.667
RandomSubSpace 1-->0.51
VIAREGRESION 1-->0.513
FilteredClassifier 1-->0.546
MultiClassClassifier 1-->0.527
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 54.39% PX: 0.00% P2: 0.00%4. BARCELONA-VALENCIA
REGRESION 1-->0.797
NEURAL 1-->0.831
SMO 1-->0.667
RandomSubSpace 1-->0.828
VIAREGRESION 1-->0.793
FilteredClassifier 1-->0.866
MultiClassClassifier 1-->0.792
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 79.63% PX: 0.00% P2: 0.00%5. ATH.CLUB-ALAVÉS
REGRESION 1-->0.613
NEURAL 1-->0.632
SMO 1-->0.667
RandomSubSpace 1-->0.565
VIAREGRESION 1-->0.611
FilteredClassifier 1-->0.68
MultiClassClassifier 1-->0.615
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 62.61% PX: 0.00% P2: 0.00%6. R.SOCIEDAD-R.MADRID
REGRESION 2-->0.614
NEURAL 2-->0.575
SMO 2-->0.667
RandomSubSpace 2-->0.614
VIAREGRESION 2-->0.609
FilteredClassifier 2-->0.567
MultiClassClassifier 2-->0.618
Resultado probable: 2
Signos:UNO=0 EQUIS=0 DOS=7Media Probabilidades Modelos:P1: 0.00% PX: 0.00% P2: 60.91%7. CELTA-GIRONA
REGRESION 1-->0.579
NEURAL 1-->0.577
SMO 1-->0.667
RandomSubSpace 1-->0.59
VIAREGRESION 1-->0.568
FilteredClassifier 1-->0.546
MultiClassClassifier 1-->0.59
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 58.81% PX: 0.00% P2: 0.00%8. OSASUNA-RAYO
REGRESION 1-->0.382
NEURAL 1-->0.462
SMO 1-->0.667
RandomSubSpace X-->0.431
VIAREGRESION 1-->0.389
FilteredClassifier 1-->0.421
MultiClassClassifier 1-->0.381
Resultado probable: 1X
Signos:UNO=6 EQUIS=1 DOS=0Media Probabilidades Modelos:P1: 45.03% PX: 43.10% P2: 0.00%9. CÁDIZ-EIBAR
REGRESION 1-->0.419
NEURAL 1-->0.472
SMO 1-->0.667
RandomSubSpace 2-->0.385
VIAREGRESION 1-->0.43
FilteredClassifier 1-->0.546
MultiClassClassifier 1-->0.419
Resultado probable: 12
Signos:UNO=6 EQUIS=0 DOS=1Media Probabilidades Modelos:P1: 49.22% PX: 0.00% P2: 38.50%10. MIRANDÉS-DEPORTIVO
REGRESION 2-->0.401
NEURAL 1-->0.366
SMO 1-->0.667
RandomSubSpace 2-->0.367
VIAREGRESION 2-->0.387
FilteredClassifier 2-->0.341
MultiClassClassifier 2-->0.404
Resultado probable: 12
Signos:UNO=2 EQUIS=0 DOS=5Media Probabilidades Modelos:P1: 51.65% PX: 0.00% P2: 38.00%11. HUESCA-MÁLAGA
REGRESION 1-->0.427
NEURAL 1-->0.487
SMO 1-->0.667
RandomSubSpace 1-->0.387
VIAREGRESION 1-->0.431
FilteredClassifier 1-->0.421
MultiClassClassifier 1-->0.425
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 46.36% PX: 0.00% P2: 0.00%12. VALLADOLID-ALMERÍA
REGRESION 1-->0.384
NEURAL 1-->0.461
SMO 1-->0.667
RandomSubSpace X-->0.392
VIAREGRESION 1-->0.399
FilteredClassifier 1-->0.5
MultiClassClassifier 1-->0.387
Resultado probable: 1X
Signos:UNO=6 EQUIS=1 DOS=0Media Probabilidades Modelos:P1: 46.63% PX: 39.20% P2: 0.00%13. SPORTING-BURGOS
REGRESION 1-->0.442
NEURAL 1-->0.476
SMO 1-->0.667
RandomSubSpace 1-->0.543
VIAREGRESION 1-->0.463
FilteredClassifier 1-->0.546
MultiClassClassifier 1-->0.442
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 51.13% PX: 0.00% P2: 0.00%14. GRANADA-LEGANÉS
REGRESION 1-->0.371
NEURAL 1-->0.455
SMO 1-->0.667
RandomSubSpace 1-->0.394
VIAREGRESION 1-->0.378
FilteredClassifier 1-->0.421
MultiClassClassifier 1-->0.37
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 43.66% PX: 0.00% P2: 0.00%