274 CHAPTER 6| IMPLEMENTATIONS: REAL MACHINE LEARNING SCHEMES
playplay
yes
.633no
.367outlookplayyes
nooutlook
sunny
.238
.538overcast
.429
.077rainy
.333
.385temperature
play
yes
yes
yes
no
no
notemperature
hot
.143
.455
.111
.556
.333
.143mild
.429
.273
.556
.333
.333
.429cool
.429
.273
.333
.111
.333
.429humidityplayyes
yes
yes
no
no
nohumidity
high
.500
.500
.125
.833
.833
.250normal
.500
.500
.875
.167
.167
.750temperat.hot
mild
cool
hot
mild
cooloutlook
sunny
overcast
rainy
sunny
overcast
rainywindy
play
yes
yes
yes
no
no
nowindy
false
.500
.500
.125
.375
.500
.833true
.500
.500
.875
.625
.500
.167outlooksunny
overcast
rainy
sunny
overcast
rainyFigure 6.21Another Bayesian network for the weather data.