Given a data tuple having the values “systems,” “26...30,” and “46–50K” for the attributes department, age,...

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department salary status соиnt age 31... 35 sales 46K. ..50K 30 senior 26K. .. 30K 31K... 35K sales junior 26...30 40 31... 3

Given a data tuple having the values “systems,” “26...30,” and “46–50K” for the attributes department, age, and salarry, respectively, what would naiive Bayesian classification of the status for the tuple be?

The answer is "P(X|senior) = 0; P(X|junior) = 0.018. Thus, a naiive Bayesian classification predicts “junior”." Or I am not sure about that answer.

PLEASE explain the SOLUTION IN DETAIL.

Thank you!

math Statistics-And-Probability

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Answer 1

Answer #1

Que. No. 70 Annωa: Civen- PCX Iseniat)= 0.000 thal the incoming new individual may be seniat with This means classified peoba

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Given a data tuple having the values “systems,” “26...30,” and “46–50K” for the attributes department, age,...

Given a data tuple having the values “systems,” “26...30,” and “46–50K” for the attributes department, age, and salarry, respectively, what would naiive Bayesian classification of the status for the tuple be? The answer is "P(X|senior) = 0; P(X|junior) = 0.018. Thus, a naiive Bayesian classification predicts “junior”." Or I am not sure about that answer. PLEASE explain the SOLUTION IN DETAIL. Thank you! department salary status соиnt age 31... 35 sales 46K. ..50K 30 senior 26K. .. 30K 31K... 35K...
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Given a data tuple having the values “systems,” “26...30,” and “46–50K” for the attributes department, age,...

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