What is the primary goal of supervised learning?
10 Questions of Machine Learning

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Computers
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University
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Hard
Mala Deep
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Clustering
Classification
Dimensionality Reduction
Reinforcement Learning
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which algorithm is commonly used for linear regression in machine learning?
k-Nearest Neighbors
Decision Trees
Support Vector Machines
Linear Regression
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is overfitting in machine learning?
Model too simple
Model fits the training data too closely
Lack of training data
Model underperforms on test data
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which evaluation metric is commonly used for classification problems?
Mean Squared Error (MSE)
R-squared
F1 Score
Mean Absolute Error (MAE)
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of the confusion matrix in machine learning?
Evaluate model accuracy
Assess the impact of feature scaling
Visualize decision boundaries
Summarize the performance of a classification algorithm
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which algorithm is suitable for handling imbalanced datasets in classification problems?
Decision Trees
k-Nearest Neighbors
Support Vector Machines
SMOTE (Synthetic Minority Over-sampling Technique)
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What role does vectorization play in machine learning feature engineering?
It helps in feature scaling
It transforms raw data into a format suitable for input to machine learning models
It focuses on reducing dimensionality of feature space
It simplifies complex mathematical operations
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