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WorksheetsALC AI QUIZ
Total questions: 15
Worksheet time: 6mins
Classification problems involve:
Predicting continuous values
Grouping data into clusters
Assigning data to predefined categories
Reducing data dimensions
Which of the following is NOT a common feature of AI systems?
Learning from data
Reasoning and problem-solving
Physical strength
Natural language processing
What is the main goal of supervised learning?
To find hidden patterns in data without labels
To maximize rewards through trial and error
To learn from labeled data to make predictions
To cluster data points into groups
In the context of machine learning, what does overfitting refer to?
When a model performs well on training data but poorly on unseen data
When a model is too simple to capture the underlying patterns
When a model is able to generalize well to new data
When a model is trained on too little data
Which of the following is a common evaluation metric for classification?
Accuracy
Root Mean Squared Error
Precision
Mean Squared Error
Outliers are data points that are not significantly different from the remaining data ?
TRUE
FALSE
Which algorithm is commonly used for classification tasks?
Decision Trees
Linear regression
Accuracy
Binary Classification
Image classification is a type of
Unsupervised
Supervised ML
Reinforcement L
All the above
In statistics, which of these measures variability in data?
median
correlation
Standard Deviation
Causation
What is Reinforcement learning ?
Reinforcement Learning is based on which principle?
Minimizing distance between data points
Learning from labeled examples
Maximizing cumulative reward through trial and error
Clustering similar data points
Which of the following is a regression problem?
Predicting whether an email is spam or not
Classifying handwritten digits
Predicting house or stock prices
All the above
In Reinforcement Learning, which term refers to the "feedback" received from the environment?
State
Reward
Action
Policy
Data → [5, 7, 8, 9, 10, 11, 13, 14, 18, 25]
Find the Interquartile Range for the given data ?
Variance is calculated as:
Mean of the data
square root of mean difference
Average of squared deviations from mean
Square root of mean difference
