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Confusion Matrix with Real-Life Examples || Artificial Intelligence || ~...

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Learn about the Confusion Matrix with Real-Life Examples. A confusion matrix is a table that shows how well an AI model makes predictions. It compares the actual results with the predicted ones and tells which are right or wrong. It includes True Positive (TP), False Positive (FP), False Negative (FN), and True Negative (TN). Video Chapters: Confusion Matrix in Artificial Intelligence 00:00 Introduction 00:12 Confusion Matrix 03:48 Metrices Derived from Confusion Matrix 04:26 Confusion Matrix Example 1 05:44 Confusion Matrix Example 2 08:10 Confusion Matrix Real-Life Uses #artificialintelligence #machinelearning #confusionmatrix #algorithm #optimization #research #happylearning #algorithms #meta #optimizationtechniques #swarmintelligence #swarm #artificialintelligence #machinelearning

BARC Previous Year Question Papers Solved

 BARC Computer Science and Information Technology Previous Year Question  Solved 

1.) The worst-case time complexity of Quick Sort is:

  • O(nlogn)
  • O(n)
  • O(n^2)
  • None
Answer: O(n^2)
Explanation: Quicksort is based on the divide and conquers paradigm. Quicksort expected average running time is O(nlogn)

2.) In C programming operator '&' is used to represent:
  • Logical AND
  • Bitwise AND
  • Logical OR
  • Bitwise OR
Answer: Bitwise AND
Explanation: logical AND (&&), bitwise AND (&), Logical OR (||), Bitwise OR(|)

3.) When a static variable is initialized:
Answer: First time when a loop is executed.
Explanation: Static variables only execute once.

4.) What is the maximum height of the AVL tree with 7 nodes? Assume that height of the tree with a single node is 0.
Answer: 3.

5.) Data structure used in the recursive algorithm is:
Answer: Stack

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