Bayes Theorem is given by where<br>1. P(H) is the probability of hypothesis H being true.<br>2. P(E) is the probability of the evidence(regardless of the hypothesis).<br>3. P(E|H) is the probability of the evidence given that hypothesis is true.<br>4. P(H|E) is the probability of the hypothesis given that the evidence is there.

Bayes Theorem is given by where
1. P(H) is the probability of hypothesis H being true.
2. P(E) is the probability of the evidence(regardless of the hypothesis).
3. P(E|H) is the probability of the evidence given that hypothesis is true.
4. P(H|E) is the probability of the hypothesis given that the evidence is there. Correct Answer TRUE

Computer Science Machine Learning
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বিসিএস, ব্যাংক, প্রাইমারি সহ সরকারি বেসরকারি চাকুরীর পরীক্ষার প্রস্তুতির জন্য ডাউনলোড করুন Bissoy অ্যাপ

Related MCQ's

Arrange the following steps in sequence in order to calculate the probability of an event through Naïve Bayes classifier. I. Find the likelihood probability with each attribute for each class. II. Calculate the prior probability for given class labels. III. Put these values in Bayes formula and calculate posterior probability. IV. See which class has a higher probability, given the input belongs to the higher probability class.

The percentage SIMILARITIES and IDENTITIES, respectively, between the two peptide sequences given below will be . . . . . . . . % and . . . . . . . . %.
Peptide I: Ala-Ala-Arg-Arg-Gln-Trp-Leu-Thr-Phe-Thr-Lys-Ile-Met-Ser-Glu
Peptide II: Ala-Ala-Arg-Glu-Gln-Tyr-Ile-Ser-Phe-Thr-Lys-Ile-Met-Arg-Asp

Choice the correct propositions:
1. Evidence of fingerprint expert is substantive evidence.
2. Evidence of fingerprint expert can be used only to corroborate some items of substantive evidence which are otherwise on record.
3. Evidence of fingerprint expert is not substantive evidence.
4. Evidence of fingerprint expert is admissible in all circumstances as expert evidence.

With Bayes theorem the probability of hypothesis(H) specified by P(H) is referred to as

The following are the two statements relating to the theory of probability. Indicate the statements being correct or incorrect.
Statement I The probability of the joint occurrence of independent events A and B is equal to the probability of event A multiplied by the probability of event B or vice-versa.
Statement II The probability of the joint occurrence of independent event A and dependent event B is equal to the probability of event A multiplied by the conditionalprobability of event B when event A has occurredor vice-versa.

Bayes theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event.

Bayes' theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event.

What are the reasons due to which a person could be considered unfit for registration in the electoral roll?
1. Being an Indian citizen
2. Being of unsound mind and standing declared as such by a competent court
3. Disqualified from voting for the time being under the provisions of any law relating to corrupt practices and other offences in connection with elections
4. Being less than 18 years of age
5. Being ordinarily resident of a constituency

Course materials are sent to students by a distance teaching institution. The probability that they will send a wrong programmes study material is 1/5. There is a probability of 3/4 that the package is damaged in transit, and there is a probability of 1/3 that there is a short shipment. What is the probability that the complete material for the course arrives without any damage in transit?

Previous probabilities in Bayes Theorem that are changed with the new available information are called __________

X