Suppose we have a dataset, which consists of four data points: {((x1, x2), Y)} = {((1,1), – 1), ((2, 2), – 1), ((4,4), 1), ((5, 5), 1)}. If we train a linear hard-SVM in the form of wix1 + w2x2 + b = 0 on this dataset, what would be the optimal w1, w2 and b? Write down a real number rounded to 2 decimal places in the format of X.XX or -X.XX wi= Enter your answer here W2= Enter your answer here b= Enter your answer here

Suppose we have a dataset, which consists of four data points: {((x1, x2), Y)} = {((1,1), – 1), ((2, 2), – 1), ((4,4), 1), ((5, 5), 1)}. If we train a linear hard-SVM in the form of wix1 + w2x2 + b = 0 on this dataset, what would be the optimal w1, w2 and b? Write down a real number rounded to 2 decimal places in the format of X.XX or -X.XX wi= Enter your answer here W2= Enter your answer here b= Enter your answer here

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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pls solve all parts asap