Flight Delays Data (Na?ve Bayes Model)N.B.Success = 1 = DelayedFailure = 0 = OntimePrior class probabilitiesAccording to relative occurrences in training dataClassProb 1 0.193792581<--Success Class0 0.806207419 Conditional probabilities Classes-->Input
Variables10?ValueProbValueProbCARRIERCO 0.06640625 CO 0.038497653 ?DH 0.33984375 DH 0.243192488 ?DL 0.109375 DL 0.2 ?MQ 0.1796875 MQ 0.112676056 ?OH 0.01171875 OH 0.017840376 ?RU 0.21484375 RU 0.170892019 ?UA 0.0078125 UA 0.016901408 ?US 0.0703125 US 0.2 DAY_OF_WEEK1 0.203125 1 0.128638498 ?2 0.16015625 2 0.139906103 ?3 0.12890625 3 0.152112676 ?4 0.12890625 4 0.159624413 ?5 0.1640625 5 0.181220557 ?6 0.0703125 6 0.131455399 ?7 0.14453125 7 0.107042254 DEP_TIME_BLK0600-0659 0.03515625 0600-0659 0.061971831 ?0700-0759 0.05078125 0700-0759 0.060093897 ?0800-0859 0.0546875 0800-0859 0.071361502 ?0900-0959 0.0234375 0900-0959 0.053521127 ?1000-1059 0.01953125 1000-1059 0.057276995 ?1100-1159 0.01953125 1100-1159 0.038497653 ?1200-1259 0.0546875 1200-1259 0.062910798 ?1300-1359 0.05078125 1300-1359 0.068544601 ?1400-1459 0.15234375 1400-1459 0.110798122 ?1500-1559 0.08203125 1500-1559 0.064788732 ?1600-1659 0.07421875 1600-1659 0.078873239 ?1700-1759 0.15625 1700-1759 0.094835681 ?1800-1859 0.03125 1800-1859 0.043192488 ?1900-1959 0.08984375 1900-1959 0.040375587 ?2000-2059 0.01953125 2000-2059 0.030985915 ?2100-2159 0.0859375 2100-2159 0.051971831 DESTEWR 0.38671875 EWR 0.283568075 ?JFK 0.1875 JFK 0.176525822 ?LGA 0.42578125 LGA 0.539906103 ORIGINBWI 0.09375 BWI 0.068544601 ?DCA 0.484375 DCA 0.635680751 ?IAD 0.421875 IAD 0.295774648 Weather0 0.92578125 0 1 ?1 0.077421875 1 0 "Bayesian Probability" as used in the Na?ve Bayes Model
A. uses na?ve probabilities to estimate class probabilities.
B. uses simple probabilities instead of conditional probabilities.
C. uses only a single classifying variable to estimate the class probabilities.
D. uses derived probabilities to obtain class probabilities.
Answer: D
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