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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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C++ Program to Calculate Area of Rectangle using Objects and Classes.

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C++ Program to Calculate Area of Rectangle using Objects and Classes. Calculate Area of Rectangle: Area = Length * width Program Output: Source Code  #include<iostream> #include<conio.h> using namespace std; class rectangle { private: int a, b; public: void setdata(int x, int y)  { a = x; b = y; } void area() { int area = a*b; cout<<"\n Area of Rectangle = " <<area; } }; int main() { rectangle r1, r2; //objects r1.setdata(15,40);  //object r1 called setdate() cout<<"\nFor First Rectangle "; r1.area(); // object r1 calls area() r2.setdata(30,60);  //object r1 called setdate() cout<<"\nFor First Rectangle "; r2.area(); // object r1 calls area() getch(); return 0; }
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