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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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Output Primitives in Computer Graphics

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 Basic Output Primitives are:

 - Point Positions [ pixel ].

 - Lines 

 - Line Drawing Algorithm

 - Circle and Ellipse generating algorithms

 - Pixel addressing and object geometry

 - Filled area primitives 

1.) Point or pixel

Point/Pixel means smallest element of Picture. A Point contain location using x and y coordinates. Size of pixel = size of pixel on display monitor. Point Attributes: Size and Color. 2 points represent Line/Edge. 

2.) Line function

Line function is used to generate straight lines between any two points. Line Function Provide Straight Line with the location of 2 pixel points. line representation Set of pixels between 2 end points. Line attributes: Color, Thickness and type. 

3.)  Line drawing algorithm

Line Generation = Process of turning on pixels for a line segments.

Line drawing algorithms is required when computer needs to determine positions of pixel between 2 end points [ to generate a straight line].  

Requirements of Line drawing Algorithm

 - Line should appear as a Straight line. 

  - It should be start and end accurately.  

4.) Different Lines 

Horizontal, Verical and Diagonal. 

Video Link: https://youtu.be/qxcCWrm5AbU

#computer #graphics #computerGraphics


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