a. Use StandardScaler to normalize the featured in DF6 and split the DF6 into 30% testing and 70% training, then build linear regression model and calculate R2 and MSE. [] #Apply features assebmly VDF6 = VAssembler.transform(DF6) # Apply Z-Score Normalization ZDF6 = StandardScaler(. ZDF6.show(5) |Label| zfeatures| 1|[1.56179930631587... e|[-1.0141553937116... -1|[-1.0141553937116...| 0|[-0.1555038270357... 0|[-1.0141553937116...| only showing top 5 rows

a. Use StandardScaler to normalize the featured in DF6 and split the DF6 into 30% testing and 70% training, then build linear regression model and calculate R2 and MSE. [] #Apply features assebmly VDF6 = VAssembler.transform(DF6) # Apply Z-Score Normalization ZDF6 = StandardScaler(. ZDF6.show(5) |Label| zfeatures| 1|[1.56179930631587... e|[-1.0141553937116... -1|[-1.0141553937116...| 0|[-0.1555038270357... 0|[-1.0141553937116...| only showing top 5 rows

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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