Desglose de Partidos J40
1. GETAFE-SEVILLA
REGRESION 1-->0.402
NEURAL 1-->0.377
SMO 1-->0.667
RandomSubSpace 1-->0.385
VIAREGRESION 1-->0.413
FilteredClassifier 1-->0.417
MultiClassClassifier 1-->0.392
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 43.61% PX: 0.00% P2: 0.00%2. VILLARREAL-VALLADOLID
REGRESION 1-->0.798
NEURAL 1-->0.79
SMO 1-->0.667
RandomSubSpace 1-->0.661
VIAREGRESION 1-->0.727
FilteredClassifier 1-->0.774
MultiClassClassifier 1-->0.794
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 74.44% PX: 0.00% P2: 0.00%3. AT.MADRID-MALLORCA
REGRESION 1-->0.76
NEURAL 1-->0.697
SMO 1-->0.667
RandomSubSpace 1-->0.702
VIAREGRESION 1-->0.799
FilteredClassifier 1-->0.623
MultiClassClassifier 1-->0.747
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 71.36% PX: 0.00% P2: 0.00%4. ESPANYOL-R.MADRID
REGRESION 2-->0.748
NEURAL 2-->0.73
SMO 2-->0.667
RandomSubSpace 2-->0.646
VIAREGRESION 2-->0.743
FilteredClassifier 2-->0.683
MultiClassClassifier 2-->0.747
Resultado probable: 2
Signos:UNO=0 EQUIS=0 DOS=7Media Probabilidades Modelos:P1: 0.00% PX: 0.00% P2: 70.91%5. BARCELONA-ALAVÉS
REGRESION 1-->0.874
NEURAL 1-->0.82
SMO 1-->0.667
RandomSubSpace 1-->0.793
VIAREGRESION 1-->0.877
FilteredClassifier 1-->0.886
MultiClassClassifier 1-->0.87
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 82.67% PX: 0.00% P2: 0.00%6. VALENCIA-CELTA
REGRESION 1-->0.413
NEURAL 1-->0.398
SMO 1-->0.667
RandomSubSpace 1-->0.431
VIAREGRESION 1-->0.435
FilteredClassifier 1-->0.417
MultiClassClassifier 1-->0.409
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 45.29% PX: 0.00% P2: 0.00%7. OSASUNA-R.SOCIEDAD
REGRESION 2-->0.377
NEURAL 2-->0.359
SMO 1-->0.667
RandomSubSpace X-->0.473
VIAREGRESION 2-->0.413
FilteredClassifier 2-->0.383
MultiClassClassifier 2-->0.376
Resultado probable: 1X2
Signos:UNO=1 EQUIS=1 DOS=5Media Probabilidades Modelos:P1: 66.70% PX: 47.30% P2: 38.16%8. BETIS-ATH.CLUB
REGRESION 1-->0.382
NEURAL 2-->0.372
SMO 1-->0.667
RandomSubSpace 1-->0.403
VIAREGRESION 1-->0.379
FilteredClassifier 2-->0.383
MultiClassClassifier 1-->0.385
Resultado probable: 12
Signos:UNO=5 EQUIS=0 DOS=2Media Probabilidades Modelos:P1: 44.32% PX: 0.00% P2: 37.75%9. MIRANDÉS-ELCHE
REGRESION 2-->0.399
NEURAL 2-->0.373
SMO 1-->0.667
RandomSubSpace 2-->0.405
VIAREGRESION X-->0.355
FilteredClassifier 2-->0.383
MultiClassClassifier 2-->0.394
Resultado probable: 1X2
Signos:UNO=1 EQUIS=1 DOS=5Media Probabilidades Modelos:P1: 66.70% PX: 35.50% P2: 39.08%10. SPORTING-BURGOS
REGRESION 1-->0.667
NEURAL 1-->0.523
SMO 1-->0.667
RandomSubSpace 1-->0.568
VIAREGRESION 1-->0.625
FilteredClassifier 1-->0.531
MultiClassClassifier 1-->0.657
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 60.54% PX: 0.00% P2: 0.00%11. ALMERÍA-R.OVIEDO
REGRESION 1-->0.528
NEURAL 1-->0.532
SMO 1-->0.667
RandomSubSpace 1-->0.59
VIAREGRESION 1-->0.499
FilteredClassifier 1-->0.531
MultiClassClassifier 1-->0.535
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 55.46% PX: 0.00% P2: 0.00%12. RACING S.-MÁLAGA
REGRESION 1-->0.555
NEURAL 1-->0.532
SMO 1-->0.667
RandomSubSpace 1-->0.458
VIAREGRESION 1-->0.54
FilteredClassifier 1-->0.531
MultiClassClassifier 1-->0.562
Resultado probable: 1
Signos:UNO=7 EQUIS=0 DOS=0Media Probabilidades Modelos:P1: 54.93% PX: 0.00% P2: 0.00%13. CASTELLÓN-HUESCA
REGRESION 1-->0.565
NEURAL 1-->0.494
SMO 1-->0.667
RandomSubSpace 2-->0.339
VIAREGRESION 1-->0.441
FilteredClassifier 1-->0.417
MultiClassClassifier 1-->0.561
Resultado probable: 12
Signos:UNO=6 EQUIS=0 DOS=1Media Probabilidades Modelos:P1: 52.42% PX: 0.00% P2: 33.90%14. R.ZARAGOZA-CÁDIZ
REGRESION 2-->0.382
NEURAL 1-->0.436
SMO 1-->0.667
RandomSubSpace X-->0.366
VIAREGRESION 2-->0.367
FilteredClassifier 1-->0.417
MultiClassClassifier 2-->0.377
Resultado probable: 1X2
Signos:UNO=3 EQUIS=1 DOS=3Media Probabilidades Modelos:P1: 50.67% PX: 36.60% P2: 37.53%