#2 DayD1D2D3D4D5D6D7D8D9D10D11D12D13D14OutlookSunnySunnyOvercastRainRainRainOvercastSunnySunnyRainSunnyOvercastOvercastRainTempHotHotHotMildCoolCoolCoolMildColdMildMildMildHotMildHumidityHighHighHighHighNormalNormalNormalHighNormalNormalNormalHighNormalHighWindWeakStrongWeakWeakWeakStrongWeakWeakWeakStrongStrongStrongWeakStrongTennisNoNoYesYesYesNoYesNoYesYesYesYesYesNoThe entropy for the entire dataset is 0.94 ie Entropy(tennis)=0.94. Which of the Rain0.0560.0480.00980.024MildHighStrongNoThe entropy for the entire dataset is 0.94 ie Entropy(tennis)=0.94. Which of thefollowing is the information gain if the dataset is split based on the Entropy(wind)(Hint :information gain(tennis, wind)= Entropy(tennis)- Entropy(wind))

To determine the dependent variable in this case, there are independent variables. Outlook,…

The entropy for the entire dataset is 0.94 ie Entropy(tennis)=0.94. Which of the following is the information gain if the dataset is split based on the Entropy(wind) (Hint :information gain(tennis, wind)= Entropy(tennis)- Entropy(wind)) 0.056 0.048 0.0098 0.024

The entropy for the entire dataset is 0.94 ie Entropy(tennis)=0.94. Which of the following is the information gain if the dataset is split based on the Entropy(wind) (Hint :information gain(tennis, wind)= Entropy(tennis)- Entropy(wind)) 0.056 0.048 0.0098 0.024

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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