Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Model Performance Metrics: The Confusi

Interactive Video
•
Information Technology (IT), Architecture
•
University
•
Hard
Quizizz Content
FREE Resource
Read more
7 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of a confusion matrix in classification?
To calculate the mean of data points
To determine the correlation between variables
To evaluate the performance of a classification model
To visualize the distribution of data
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In a confusion matrix, what do the diagonal entries represent?
Misclassifications
Accurate classifications
Total number of samples
Class labels
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the entry 'B' in a confusion matrix indicate?
Samples of Class 2 classified as Class 1
Samples of Class 1 classified as Class 2
Samples of Class 1 classified as Class 1
Samples of Class 2 classified as Class 2
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is precision calculated in a binary classification?
True Positives divided by True Positives plus False Negatives
True Negatives divided by True Negatives plus False Negatives
True Positives divided by True Positives plus False Positives
True Negatives divided by True Negatives plus False Positives
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does recall measure in the context of classification?
The proportion of actual positives correctly identified
The error rate of the model
The proportion of actual negatives correctly identified
The overall accuracy of the model
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why might precision and recall be preferred over accuracy in some situations?
They are easier to calculate
They provide a more detailed view of model performance
They are less affected by data distribution
They are more commonly used in regression
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What factors should influence the choice of performance metric?
The application area and data distribution
The type of machine learning algorithm used
The size of the dataset
The number of features in the dataset
Similar Resources on Wayground
11 questions
Practical Data Science using Python - Classification Problems and Performance Metrics

Interactive video
•
University
8 questions
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Model Performance Metrics: The Accurac

Interactive video
•
University
6 questions
Python for Deep Learning - Build Neural Networks in Python - Predicting the Test Set Results

Interactive video
•
University
4 questions
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Model Performance Metrics: The Accurac

Interactive video
•
University
2 questions
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Model Performance Metrics: The Accurac

Interactive video
•
University
8 questions
Practical Data Science using Python - Optimizing Classification Metrics

Interactive video
•
University
3 questions
Describe a neural network : Evaluate Accuracy

Interactive video
•
University
2 questions
Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Model Performance Metrics: The Confusi

Interactive video
•
University
Popular Resources on Wayground
11 questions
Hallway & Bathroom Expectations

Quiz
•
6th - 8th Grade
20 questions
PBIS-HGMS

Quiz
•
6th - 8th Grade
10 questions
"LAST STOP ON MARKET STREET" Vocabulary Quiz

Quiz
•
3rd Grade
19 questions
Fractions to Decimals and Decimals to Fractions

Quiz
•
6th Grade
16 questions
Logic and Venn Diagrams

Quiz
•
12th Grade
15 questions
Compare and Order Decimals

Quiz
•
4th - 5th Grade
20 questions
Simplifying Fractions

Quiz
•
6th Grade
20 questions
Multiplication facts 1-12

Quiz
•
2nd - 3rd Grade