Demo 2.1 Classification Model
Interactive Video
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Information Technology (IT), Architecture, Social Studies
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University
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Practice Problem
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Hard
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec ⢠1 pt
What is the prerequisite for understanding the classification model demo?
Understanding clustering models
Familiarity with regression model demo
Experience with data visualization
Knowledge of deep learning
2.
MULTIPLE CHOICE QUESTION
30 sec ⢠1 pt
What type of dataset is created for the classification model in the demo?
Image dataset
Audio dataset
Tabular dataset
Text dataset
3.
MULTIPLE CHOICE QUESTION
30 sec ⢠1 pt
Which step is performed after normalizing the data in the classification model pipeline?
Data visualization
Data splitting
Model evaluation
Feature extraction
4.
MULTIPLE CHOICE QUESTION
30 sec ⢠1 pt
Which metric is NOT used for evaluating classification models?
Accuracy
Root Mean Square Error
Recall
Precision
5.
MULTIPLE CHOICE QUESTION
30 sec ⢠1 pt
What does a high AUC value indicate about a classification model?
The model is not reliable
The model is performing well
The model is overfitting
The model is underfitting
6.
MULTIPLE CHOICE QUESTION
30 sec ⢠1 pt
What is the default threshold value used in the classification model?
0.7
0.3
0.5
0.1
7.
MULTIPLE CHOICE QUESTION
30 sec ⢠1 pt
Which two metrics are commonly used to evaluate classification models?
Precision and Recall
Mean Absolute Error and R-squared
F1 Score and Root Mean Square Error
Silhouette Score and Davies-Bouldin Index
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