What is the primary focus of model evaluation in this tutorial?
Python for Machine Learning - The Complete Beginners Course - Root Mean Squared Error in Python

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Information Technology (IT), Architecture, Mathematics
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University
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Hard
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Classification accuracy
Root mean squared error
Logistic regression
Decision trees
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which module in Python provides the root mean squared error function?
numpy
pandas
sklearn.metrics
matplotlib
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What values are required to calculate the root mean squared error?
Neither actual nor predicted values
Both actual and predicted values
Only actual values
Only predicted values
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which evaluation metric is suitable for continuous output variables?
Log loss
Mean squared error
AUC-ROC
Accuracy
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is mean squared error not used for classification problems?
It requires a large dataset
It is too complex
It is only for binary classification
It is not defined for discrete classes
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