Time limit 2000/4000/4000/4000 ms. Memory limit 65000/65000/65000/65000 Kb.
Question by Ibrahim Mesecan.
Confusion Matrix
In artificial intelligence, especially in supervised
learning, performance of an algorithm is measured using
a specific table layout which is called Confusion matrix.
On the rows of the table actual object classes are listed.
And on the columns the predicted object classes are listed.
For example the table below lists confusion matrix for
positive and negative objects.
The table on the right tells that there are actually 8
positive and 6 negative objects. The algorithm has predicted
5 positives and 4 negatives correctly. But it has predicted
3 positives as negative and 2 negatives as positive.
Question:
Write a program that is going to read actual and predicted
classes of n objects. Then your program will show the
confusion matrix.
Input specification
You will be given two integers in the beginning:
the number of classes (k) and the number of
queries (n). Then in the following k lines,
you will be k strings (which are in alphabetical
order): the object classes where
each class label can have at most 20 chars (only
26 English letters). The in the following n lines
you will be given two strings.
- Actual object class
- Detected class
where 1 ≤ n ≤ 5,000 and
1 ≤ k ≤ 60.
Output specification
Show k-by-k matrix.
Sample Input I
3 10
Apple
Orange
Pear
Pear Pear
Orange Orange
Apple Orange
Orange Orange
Pear Pear
Pear Pear
Orange Pear
Apple Apple
Orange Orange
Apple Pear
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Sample Output I
1 1 1
0 3 1
0 0 3
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Для отправки решений необходимо выполнить вход.
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