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Machine Learning Quiz-1 (20.12.24 -Batch 2024-26)

Quiz by Anitha G

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8 questions
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  • Q1
    What is the primary goal of supervised learning in machine learning?
    To reduce the dimensionality of data for easier visualization
    To learn a mapping from inputs to outputs based on labeled training data
    To create clusters of data points based on their similarity
    To generate new data points without any labeled data
    30s
  • Q2
    What is the purpose of the training set in machine learning?
    To provide data for the model to learn from
    To evaluate the performance of the model
    To store model parameters
    To randomly select features for the model
    30s
  • Q3
    What is reinforcement learning primarily concerned with?
    Learning optimal actions through trial and error to maximize cumulative reward
    Classifying input data into predefined categories
    Reducing dimensionality of data for visualization
    Predicting continuous outcomes based on input features
    30s
  • Q4
    What is a common application of unsupervised learning?
    Clustering data into groups
    Predicting future outcomes
    Reinforcing learning processes
    Classifying labeled data
    30s
  • Q5
    What is the primary goal of supervised machine learning?
    To optimize hardware performance
    To generate new data points
    To learn a mapping from input data to output labels
    To find hidden patterns in unsupervised data
    30s
  • Q6
    Which algorithm is commonly used for classification tasks in machine learning?
    Support Vector Machine (SVM)
    Linear Regression
    K-means Clustering
    Principal Component Analysis (PCA)
    30s
  • Q7
    What is the primary difference between supervised and unsupervised learning?
    Supervised learning clusters data; unsupervised learning classifies data
    Supervised learning requires more computational power than unsupervised learning
    Supervised learning uses labeled data; unsupervised learning does not
    Supervised learning predicts future values; unsupervised learning analyzes past values
    30s
  • Q8
    What is a common metric used to evaluate the performance of a classification model?
    Mean Squared Error
    Silhouette Score
    Accuracy
    Log Loss
    30s

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