<u>Answer:</u> The speed of light in miles per minutes is 
<u>Explanation:</u>
We are given the speed of light is
and we need to convert it into miles/min. So, we use the converion factor:
1 hour = 60 minutes
Converting that quantity into miles/minutes, we get:

Hence, the speed of light in miles per minutes is 
Correct option:
Entropy is used to calculate information gain.
What is entropy?
- Entropy is the measure of data's uncertainty or randomness; the greater the randomness, the higher the entropy. Entropy is used by information gain to make choices. Information will increase if the entropy decreases.
- Decision trees and random forests leverage information gained to determine the appropriate split. Therefore, the split will be better and the entropy will lower the more information gained.
- Information gain is calculated by comparing the entropy of a dataset before and after a split.
- Entropy is a way to quantify data uncertainty. The goal is to maximize information gain while minimizing entropy. The method prioritizes the feature with the most information, which is utilized to train the model.
- Entropy is actually used when you use information gain.
Learn more about entropy here,
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Answer:
See explanation
Explanation:
The question is incomplete but i will try to give you all the necessary guide that you need in order to answer the question.
When compounds are formed, atoms exchange valency. The valency of nitrogen is three while that of the metal is two. The exchange yields M3N2.
If the compound has been specifically mentioned to be a metal, then it must be a group two element. It could be any of Mg, Ca, Sr, Ba or Ra. I did not mention Be here because most of its compounds are covalent.
This will help you to answer the complete question.
Answer:
<u><em>neither</em></u>
Explanation:
it is <u><em>neither</em></u> because the <u><em>law of conservation of mass states that matter can not be created nor destroyed only rearranged!!!</em></u>
The best answer for this is A because it answers the question 100% correct