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WorksheetsMachine Learning Question Bank – Weeks 1–6
Total questions: 92
Worksheet time: 46mins
Form A: Machine Learning is best described as:
Writing all rules manually
Teaching computers to learn from data
Storing information only
Hardware instructions
Which of the following defines Machine Learning?
A programming language
A system that learns patterns from data
A storage tool
Manual rule writing
Form C: Machine Learning focuses on:
Arithmetic only
Learning from examples and data
Manually coding each case
Removing human input
The first step in a machine learning project is:
Data Collection
Deployment
Prediction
Testing
Which step handles missing values and duplicates?
Data Cleaning
Deployment
Evaluation
Prediction
Dividing data into training and test sets happens in:
(a)
Supervised learning requires:
Labeled data
Unlabeled data
No data
Only images
Form B: Unsupervised learning uses:
Labels provided
No labels
Rewards
Targets
Form C: Which type of learning predicts house prices?
Supervised
Unsupervised
Reinforcement
Random guessing
Form A: Classification is used when:
Predicting categories
Predicting continuous values
Grouping unlabeled data
Finding associations
Form B: Email spam filtering is an example of:
Classification
Regression
Clustering
Dimensionality reduction
Form C: A model that sorts pictures into dog, cat, or bird is:
A) Classification
B) Regression
C) Association
D) Reinforcement
Group 5 (1 mark) Form A: Regression is used when the target is:
A) A continuous number
B) A category
C) A label
D) A cluster
Form B: Predicting house prices is an example of:
Regression
Classification
Clustering
Reinforcement
Form C: Polynomial regression is useful for:
A) Non-linear trends
B) Only text
C) Random labels
D) Binary outcomes
Form A: Decision Trees are good because:
Easy to visualize
Require no data
Work only with numbers
Random guessing
Form B: Support Vector Machines (SVMs) are effective in:
High-dimensional spaces
Small data only
Text only
Clustering tasks
Form C: Neural Networks require:
Large amounts of data
No training
Just one feature
Labels only
Group 7 (1 mark) Form A: Clustering groups data based on:
similarity
random selection
alphabetical order
size of data
Which of the following is related to similarity?
Similarity
Labels
Targets
Predictions
Form B: Association rule learning finds:
Relationships between items
Random values
Predictions
Labels
Form C: Dimensionality reduction helps to:
A) Simplify data
B) Add features
C) Increase complexity
D) Add noise
Which ML task is used in fraud detection?
Classification
Clustering
Regression
Dimensionality reduction
Form B: Customer segmentation is achieved using:
Clustering
Regression
Classification
Association rules
Form C: Grouping oil wells by depth and pressure is an example of:
Clustering
Regression
Reinforcement
Association
Reinforcement learning improves through:
Rewards
Labeled data
Clusters
Self-driving cars use:
Reinforcement Learning
Regression
Clustering
Association
Form C: AlphaGo is an example of:
Reinforcement Learning
Regression
Classification
Clustering
Which step checks if a model is overfitting?
A) Model Evaluation
B) Data Cleaning
C) Deployment
D) Data Collection
Form B: Which metric is common for classification?
Accuracy
RMSE
Mean price
Depth
Form C: Which metric is common for regression?
Mean Squared Error
F1-Score
ROC Curve
Clusters
Overfitting means:
Model learns noise
Model generalizes well
Data is missing
No training used
Overfitting means:
Model learns noise
Model generalizes well
Data is missing
No training used
Form A: Underfitting means:
Model is too simple
Model memorizes data
Perfect accuracy
No error
Form B: Underfitting means:
Model is too simple
Model memorizes data
Perfect accuracy
No error
Underfitting means:
Model is too simple
Model memorizes data
Perfect accuracy
No error
Form A: Which tool is used for training ML models?
A) Python
B) Excel
C) Paint
D) Word
What tool refers to used for training ML models?
Python
Excel
Paint
Which tool is used for training ML models?
Python
Excel
Paint
Word
Group 14 (1 mark) Form A: IoT sensors provide:
Real-time data
Labels only
Predictions
No output
Group 14 (1 mark) Form B: IoT sensors provide:
Real-time data
Labels only
Predictions
No output
IoT sensors provide:
Real-time data
Labels only
Predictions
No output
Group 15 (1 mark) Form A: Anomaly detection identifies:
Outliers
Labels
Training sets
Targets
Form B: Anomaly detection identifies:
Outliers
Labels
Training sets
Targets
Anomaly detection identifies:
Outliers
Labels
Training sets
Targets
Which of the following is correct?
Outliers
Labels
Training sets
Targets
Form A: PCA is used for:
Dimensionality reduction
Predictions
Classification
Clustering
Form B: PCA refers to used for:
Dimensionality reduction
Predictions
Classification
Clustering
PCA is used for:
Dimensionality reduction
Predictions
Classification
Clustering
Market basket analysis uses:
A) Association rules
B) Regression
C) Classification
D) Reinforcement
Form B: Market basket analysis refers to uses:
A) Association rules
B) Regression
C) Classification
D) Reinforcement
Market basket analysis uses:
A) Association rules
B) Regression
C) Classification
Form A: Speech-to-text systems use:
Supervised learning
Clustering
Reinforcement
Association
Form B: Speech-to-text systems use:
Supervised learning
Clustering
Reinforcement
Association
Speech-to-text systems use:
Supervised learning
Clustering
Reinforcement
Association
Predicting weather temperature is:
Regression
Classification
Clustering
Reinforcement
Form B: Predicting weather temperature refers to:
Regression
Classification
Clustering
Reinforcement
Predicting weather temperature is:
Regression
Classification
Clustering
Reinforcement
Grouping documents by topics is:
Clustering
Regression
Reinforcement
Labels
Form B: Grouping documents by topics refers to:
Clustering
Regression
Reinforcement
Labels
Grouping documents by topics is:
Clustering
Regression
Reinforcement
Labels
Form A: Reward feedback is used in:
Reinforcement
Classification
Regression
Association
Form B: Reward feedback refers to used in:
Reinforcement
Classification
Regression
Association
Reward feedback is used in:
Reinforcement
Classification
Regression
Association
Group 22 (1 mark) Form A: An example of supervised learning is:
Predicting house prices using labeled data
Clustering customers based on purchasing behavior
Finding patterns in unlabeled text data
Detecting anomalies without prior examples
What refers to an example of supervrrefers toed learning?
Predicting exam scores
Grouping customers
Market basket analysis
PCA
Which is an example of supervised learning?
Predicting exam scores
Grouping customers
Market basket analysis
PCA
Which task reduces noise in images?
Dimensionality reduction
Clustering
Classification
Association
What task reduces norefers toe in images?
Dimensionality reduction
Clustering
Classification
Association
Which task reduces noise in images?
Dimensionality reduction
Clustering
Classification
Association
In ML, features are:
Input variables
Predictions
Labels
Form B: In ML, features are:
Input variables
Predictions
Labels
Rewards
In ML, features are:
Input variables
Predictions
Labels
Rewards
In ML, the label is:
The output
The input
The cluster
The dimension
In ML, the label refers to:
The output
The input
The cluster
The dimension
In ML, the label is:
The output
The input
The cluster
The dimension
Form A: Data cleaning involves:
Removing errors
Adding noise
Training models
Predictions
Data cleaning involves:
Removing errors
Adding noise
Training models
Predictions
Data cleaning involves:
Removing errors
Adding noise
Training models
Predictions
Cross-validation helps to:
Evaluate models
Clean data
Collect data
Add labels
Cross-validation helps to:
Evaluate models
Clean data
Collect data
Add labels
Cross-validation helps to:
Evaluate models
Clean data
Collect data
Add labels
Form A: Which is an oil and gas ML use case?
A) Well classification
B) Image painting
C) Text formatting
D) File storage
What refers to an oil and gas ML use case?
Well classification
Image painting
Text formatting
Which is an oil and gas ML use case?
Well classification
Image painting
Text formatting
File storage
Spam email detection is:
Classification
Regression
Clustering
Reinforcement
Form B: Spam email detection refers to:
Classification
Regression
Clustering
Reinforcement
Spam email detection is:
Classification
Regression
Clustering
Reinforcement
Predicting stock prices is:
Regression
Classification
Clustering
Reinforcement
Form B: Predicting stock prices refers to:
Regression
Classification
Clustering
Reinforcement
Predicting stock prices is:
Regression
Classification
Clustering
Reinforcement
Which of the following is the correct answer?
Regression
Classification
Clustering
Reinforcement
