Lab 11

This output comes from what code?

• iris_df

• iris_df.printSchema()

• iris_df.limit(5).toPandas()

• iris_df.Schema()

A Vector Assembler is .....

• transformer that combines a given list of columns into a single vector column

• transformer that combines a given dictionary of columns into multiple vector column

• transformer that combines a given list of columns into a single vector row

• transformer that combines a given dictionary of columns into multiple vector rows

What is this code doing? 2 Correct Answers

• Reducing the amount of features from 4 to 2

• Increasing the ammount of features from 2 to 4

• Using PCA

• Using Vector Assembler

This code provides ...

• Kmeans Summary

• PCA Summary

• Summary Table of the Dataframe

• Sumary of the amount of rows and columns of Data

When you apply this code, what is the output?

• 
• 
• 
• 

What is this code doing?

• Adding clustering predictions to the actual DataFrame

• Add clustering predictions to a new DataFrame

• Adding clustering predictions in a Graph

• Adding clustering predictions and sending them to Kafka

Why would you want to use this code?

• Evaluate the Model

• Test the Model over new Data

• Using the K-means model over a Cross-Validated Dataset

• For the Serving Layer

The ...... the Silhouett Score the better the clustering is

• higher

• lower

Within Set Sum of Squared Rrrors (WSSSE), 2 CORRECT ANSWERS

• Measures of how far each point is from its centroid

• the higher the WSSSE number the worse the clustering is

• Measures of how far each point is from the farthest point of the cluster

• the lower the WSSSE number the worse the clustering is

To make each color you need to iterate over the ....... and to make each black dot you need to iterate over the ......

• clusters, centroids

• k-means, centers

• dataframes, centroids

• clusters, average means