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pashok25 [27]
3 years ago
7

The balanced F measure (a.k.a. F1) is defined as the harmonic mean of precision and recall. What is the advantage of using the h

armonic mean rather than "averaging" (using the arithmetic mean)?
Computers and Technology
1 answer:
ollegr [7]3 years ago
4 0

Answer:

Because the value derived from harmonic mean reflects the credible result of search engine

Explanation:

Given that the value of arithmetic mean tends to be closer to the highest value between Precision and Recall, while the value of the harmonic mean, is the lowest value between Precision and Recall, in a situation where all documents relevant to a query are returned, where R = 1 and P is closer to 0, the arithmetic mean will be greater than 0.5 and will not reflects the credible result of search engine

However, if the harmonic mean is utilized, the value will be closer to the low Precision value, hence it closely reflects the credible result of search engine

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Primary because it is non-volatile storage
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4 years ago
You decide to buy some stocks for a certain price and then sell them at another price. Write a program that determines whether o
ser-zykov [4K]

Answer:

#here is code in python.

#read number of shares

num_share = int(input("Enter number of shares:"))

#read purchase price

buy_p = float(input("Enter purchase price:"))

#read sell price

sell_p = float(input("Enter sale price:"))

#total buying cost

buy_cost=buy_p*1.03*num_share

#total selling cost

sell_cost=sell_p*0.97*num_share

#if net profit

if(sell_cost>buy_cost):

   print("After the transaction, you made " +str(sell_cost-buy_cost)+ " dollars.")

#if net loss

else:

   print("After the transaction, you lost " +str(buy_cost-sell_cost)+ " dollars.")

Explanation:

Read the total number of shares from user.Then read buying price of a share and selling price of a share.Then calculate total buying cost including commission.Calculate total selling cost excluding the commission.If total buying cost is greater than total selling cost the print the profit else print the loss in the transaction.

Output:

Enter number of shares:10

Enter purchase price:10

Enter sale price:10

After the transaction, you lost 6.0 dollars.

4 0
3 years ago
Suppose that a computer can run an algorithm on a problem of size 1,024 in time t. We do not know the complexity of the algorith
Setler79 [48]

Answer:

Time Complexity of Problem - O(n)

Explanation:

When n= 1024 time taken is t. on a particular computer.

When computer is 8 times faster in same time t , n can be equal to 8192. It means on increasing processing speed input grows linearly.

When computer is 8 times slow then with same time t , n will be 128 which is (1/8)th time 1024.

It means with increase in processing speed by x factor time taken will decrease by (1/x) factor. Or input size can be increased by x times. This signifies that time taken by program grows linearly with input size n. Therefore time complexity of problem will be O(n).

If we double the speed of original machine then we can solve problems of size 2n in time t.

5 0
3 years ago
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romanna [79]
I've never seen that third syntax. If it's legit, it probably does the same as I and II, which are the same.
6 0
4 years ago
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