IB Computer Science Topic A4.3.2 Classification Techniques in Supervised Learning Revision Notes (HL)

IB Computer Science Topic A4.3.2 Classification Techniques in Supervised Learning Revision Notes (HL) | RevisionDojo

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Classification Techniques

Classification = Supervised Learning used to predict discrete categorical outcomes.
Learns from labeled training data to classify new examples.
Examples: Spam detection, fruit type prediction, disease diagnosis.

K-Nearest Neighbors (K-NN)

How It Works

Calculate distance between new sample and all training points.
Select K nearest neighbors.

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Lorem ipsum dolor sit amet, consectetur adipiscing elit.
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Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris.
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Classification Techniques

Classification = Supervised Learning used to predict discrete categorical outcomes.
Learns from labeled training data to classify new examples.
Examples: Spam detection, fruit type prediction, disease diagnosis.

K-Nearest Neighbors (K-NN)

How It Works

Calculate distance between new sample and all training points.
Select K nearest neighbors.

Definition

Paywall

(on a website) an arrangement whereby access is restricted to users who have paid to subscribe to the site.

anim nostrud sit dolore minim proident quis fugiat velit et eiusmod nulla quis nulla mollit dolor sunt culpa aliqua

Duis aute irure dolor in reprehenderit

Note

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam quis nostrud exercitation.

Excepteur sint occaecat cupidatat non proident

Tip

Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris.
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum.

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End of article

IB Computer Science Topic A4.3.2: Classification Techniques in Supervised Learning Notes

IB Computer Science Topic A4.3.2: Classification Techniques in Supervised Learning Notes

Classification Techniques

K-Nearest Neighbors (K-NN)

How It Works

anim nostrud sit dolore minim proident quis fugiat velit et eiusmod nulla quis nulla mollit dolor sunt culpa aliqua

Duis aute irure dolor in reprehenderit

Excepteur sint occaecat cupidatat non proident

Unlock the rest of this chapter with a free account

Classification Techniques

K-Nearest Neighbors (K-NN)

How It Works

anim nostrud sit dolore minim proident quis fugiat velit et eiusmod nulla quis nulla mollit dolor sunt culpa aliqua

Duis aute irure dolor in reprehenderit

Excepteur sint occaecat cupidatat non proident

Unlock the rest of this chapter with a free account

IB Computer Science Topic A4.3.2: Classification Techniques in Supervised Learning Notes

A1 Computer fundamentals4 subtopics

A2 Networks4 subtopics

A3 Databases4 subtopics

A4 Machine learning4 subtopics

B1 Computational thinking1 subtopic

B2 Programming5 subtopics

B3 Object-oriented programming2 subtopics

B4 Abstract data types (HL only)1 subtopic

IB Computer Science Topic A4.3.2: Classification Techniques in Supervised Learning Notes

A1 Computer fundamentals4 subtopics

A2 Networks4 subtopics

A3 Databases4 subtopics

A4 Machine learning4 subtopics

B1 Computational thinking1 subtopic

B2 Programming5 subtopics

B3 Object-oriented programming2 subtopics

B4 Abstract data types (HL only)1 subtopic

Classification Techniques

K-Nearest Neighbors (K-NN)

How It Works

anim nostrud sit dolore minim proident quis fugiat velit et eiusmod nulla quis nulla mollit dolor sunt culpa aliqua

Duis aute irure dolor in reprehenderit

Excepteur sint occaecat cupidatat non proident

Unlock the rest of this chapter with a free account

Classification Techniques

K-Nearest Neighbors (K-NN)

How It Works

anim nostrud sit dolore minim proident quis fugiat velit et eiusmod nulla quis nulla mollit dolor sunt culpa aliqua

Duis aute irure dolor in reprehenderit

Excepteur sint occaecat cupidatat non proident

Unlock the rest of this chapter with a free account