II. NAÏVE BAYES. Dataset showing the class, attribute and number of evidences per class attribute. CLASS LONG SWEET YELLOW ТОTAL Banana 400 350 450 500 Orange 150 300 300 Other 100 150 50 200 Here's...


Database Question


Dataset showing the class, attribute and number of evidences per class|attribute.
CLASS LONG SWEET YELLOW TOTAL
Banana 400 350 450 500
Orange 0 150 300 300
Other 100 150 50 200
Here’s the deal:
• We have a training dataset of 1,000 fruits.
• The fruit can be a Banana, Orange or Other
• The fruit can be Long, Sweet or Yellow


II. NAÏVE BAYES.<br>Dataset showing the class, attribute and number of evidences per class attribute.<br>CLASS<br>LONG<br>SWEET<br>YELLOW<br>ТОTAL<br>Banana<br>400<br>350<br>450<br>500<br>Orange<br>150<br>300<br>300<br>Other<br>100<br>150<br>50<br>200<br>Here's the deal:<br>We have a training dataset of 1,000 fruits.<br>The fruit can be a Banana, Orange or Other<br>The fruit can be Long, Sweet or Yellow<br>Suppose we are told the unknown fruit is long, sweet and yellow, calculate for the probability of it being<br>a banana, orange or other fruit.<br>

Extracted text: II. NAÏVE BAYES. Dataset showing the class, attribute and number of evidences per class attribute. CLASS LONG SWEET YELLOW ТОTAL Banana 400 350 450 500 Orange 150 300 300 Other 100 150 50 200 Here's the deal: We have a training dataset of 1,000 fruits. The fruit can be a Banana, Orange or Other The fruit can be Long, Sweet or Yellow Suppose we are told the unknown fruit is long, sweet and yellow, calculate for the probability of it being a banana, orange or other fruit.

Jun 09, 2022
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