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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

Learn to Code with MATLAB

MATLAB CODE: Produce a 7x10 Dimension matrix with maximum integer number 50 using Randi Function.

a.) Reach the element that is in 5 rows and 8 columns and display on the screen.
b.) Select a region between 3 and 6 Row and 5 and 9 columns. Save extracted resign into
a variable and display it on the screen.
c.) Add new Row to your matrix as 8th row.
d.) Add new Column to your matrix as the 11th column.

MATLAB CODE: Problem| Produce a 7x10 Dimension matrix with maximum integer 50 using Randi Function
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