Data Mining - [2] Classification - 01 - Introduction

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Transcript of Data Mining - [2] Classification - 01 - Introduction

Classification: FEATURE SELECTIONData Mining – Fabio Stella

CLASSIFICATION

FEATURE SELECTION

SELF ASSESSMENT - Solution

Fabio Stella

Associate Professor

c/o Department of Informatics, Systems and Communication

University of Milano Bicocca

Classification: FEATURE SELECTIONData Mining – Fabio Stella

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The Workflow should look like

FEATURE SELECTION: SELF ASSESSMENT

Classification: FEATURE SELECTIONData Mining – Fabio Stella

2FEATURE SELECTION: SELF ASSESSMENT

Classification: FEATURE SELECTIONData Mining – Fabio Stella

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3FEATURE SELECTION: SELF ASSESSMENT

Classification: FEATURE SELECTIONData Mining – Fabio Stella

4FEATURE SELECTION: SELF ASSESSMENT

Classification: FEATURE SELECTIONData Mining – Fabio Stella

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The Workflow should look like

FEATURE SELECTION: SELF ASSESSMENT

Classification: FEATURE SELECTIONData Mining – Fabio Stella

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Please watch the video lecture to complete the assessment.

The next slides show the results you should get if you

correctly accomplished the assignment.

FEATURE SELECTION: SELF ASSESSMENT

Classification: FEATURE SELECTIONData Mining – Fabio Stella

7FEATURE SELECTION: SELF ASSESSMENT

WRAPPER

Classification: FEATURE SELECTIONData Mining – Fabio Stella

8FEATURE SELECTION: SELF ASSESSMENT

WRAPPER

Classification: FEATURE SELECTIONData Mining – Fabio Stella

9FEATURE SELECTION: SELF ASSESSMENT

WRAPPER

Classification: FEATURE SELECTIONData Mining – Fabio Stella

10FEATURE SELECTION: SELF ASSESSMENT

FILTER

(Information Gain)

Classification: FEATURE SELECTIONData Mining – Fabio Stella

11FEATURE SELECTION: SELF ASSESSMENT

FILTER

(CFS)

Classification: FEATURE SELECTIONData Mining – Fabio Stella

12FEATURE SELECTION: SELF ASSESSMENT

FILTER

COMPARISON