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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
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Operator Precedence & Operators Associativity

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Operator Precedence  in C++
Operator precedence determines which operator is performed first in an expression with more than one operator.  In C++, we use the Operator Precedence rule to solve the problem like this- (5 + 8 * 3). Precedence Determine the order in which the operators are performed. An operator with Higher Precedence is evaluated before the operator with lower precedence.

https://youtu.be/5_3IN1NHa9k
Video: Operator Precedence in C++


Operator Associativity Chart


Multiply (*) operator has higher precedence than addition operator (+).


Questions for your Practice
1.) 7 + 3 * 2                                             Ans.  13
2.) 10 + 20 * 30 Ans.  610
3.) 100 / 10 * 10 Ans.  100
4.) 100 + 200 / 10 – 3 * 10                Ans.  90
5. ) 10 / 5 + 6 – 5 % 3 * 5        Ans.  - 2



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