3 ReliefGiven the data set X with three input features and one output feature representing the classification ofsamples:I112132.51.65.97.24.32.113.45.81.615.63.66.84.87.23.118.14.98.36.34.82.41• Rank the features using a comparison of means and variances.• Rank the features using Relief algorithm. Use all samples for the algorithm (m = 7).

(1) Rank Features using Means and Variances:For Class 0:Mean_I1 = (2.5 + 5.6 + 8.1) / 3 =…

3 Relief Given the data set X with three input features and one output feature representing the classification of samples: I1 12 13 0 2.5 1.6 5.9 0 7.2 4.3 2.1 1 3.4 5.8 1.6 1 5.6 3.6 6.8 0 4.8 7.2 3.1 1 8.1 4.9 8.3 0 6.3 4.8 2.4 1 . Rank the features using a comparison of means and variances. Rank the features using Relief algorithm. Use all samples for the algorithm (m = 7).

3 Relief Given the data set X with three input features and one output feature representing the classification of samples: I1 12 13 0 2.5 1.6 5.9 0 7.2 4.3 2.1 1 3.4 5.8 1.6 1 5.6 3.6 6.8 0 4.8 7.2 3.1 1 8.1 4.9 8.3 0 6.3 4.8 2.4 1 . Rank the features using a comparison of means and variances. Rank the features using Relief algorithm. Use all samples for the algorithm (m = 7).

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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