
IEEE workshop quiz 1
Authored by Krishna Agarwal
Education
University
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5 questions
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1.
MULTIPLE CHOICE QUESTION
20 sec • 10 pts
What is the purpose of training data in machine learning?
To evaluate the model's performance
To make predictions on new data
To tune hyperparameters
To train the model and learn patterns
2.
MULTIPLE CHOICE QUESTION
20 sec • 10 pts
Which technique is used to predict categorical outcomes in machine learning?
Regression
Classification
Clustering
Dimensionality reduction
3.
MULTIPLE CHOICE QUESTION
20 sec • 10 pts
Which evaluation metric is commonly used for classification problems to measure the overall performance of a model?
Precision
Accuracy
Recall
F1 score
4.
MULTIPLE CHOICE QUESTION
20 sec • 10 pts
Which type of machine learning algorithm learns from labeled examples and makes predictions on unseen data?
Supervised learning
Unsupervised learning
Reinforcement learning
Deep learning
5.
MULTIPLE CHOICE QUESTION
20 sec • 10 pts
The model will be trained with data in one single batch is known as ?
Batch Learning
Offline Learning
Both Batch and Offline Learning
None of these
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