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WorksheetsQuiz on Machine Learning
Total questions: 20
Worksheet time: 10mins
What is the main goal of machine learning?
To make computers intelligent
To automate manual tasks
To enable computers to learn from data
To create self-aware machines
Which type of machine learning algorithm aims to mimic the process of human learning?
Supervised learning
Unsupervised learning
Reinforcement learning
Deep learning
Which machine learning algorithm is suitable for solving regression problems?
K-Means clustering
Random Forest
K-Nearest Neighbors (KNN)
Apriori algorithm
Which technique is used to reduce the dimensionality of data while preserving as much information as possible?
Clustering
Feature extraction
Feature selection
Regularization
Which algorithm is used for finding frequent itemsets in transactional databases?
Decision Trees
K-Means clustering
Apriori algorithm
Support Vector Machines (SVM)
Which algorithm is used for hierarchical clustering?
K-Means clustering
Agglomerative clustering
DBSCAN
Principal Component Analysis (PCA)
In a neural network, what are the layers between the input and output layers called?
Hidden layers
Output layers
Feature layers
Input layers
Which machine learning algorithm is inspired by the functioning of the human brain's neural networks?
K-Means clustering
Decision Trees
Support Vector Machines (SVM)
Artificial Neural Networks
In a k-fold cross-validation, how is the dataset divided?
It is divided into \(k\) equal subsets
It is divided into \(k-1\) training subsets and 1 validation subset
It is divided into training and testing subsets based on a ratio
It is divided randomly into disjoint subsets
Which algorithm is used for finding the optimal clustering of data points?
Random Forest
K-Means clustering
Support Vector Machines (SVM)
Hierarchical clustering
Which machine learning approach is based on the assumption that similar data points are more likely to have the same labels?
Clustering
Classification
Regression
Anomaly detection
Which of the following machine learning algorithm is based upon the idea of bagging?
Decision tree
Random-forest
Classification
Regression
Choose the real-world application of ML from the following.
Fraud detection
Chatbots
Digital assistants
All of the above
A collection of one or more items is called as
Itemset
Support
Confidence
Support Count
An itemset whose support is greater than or equal to a minimum support threshold is ______
Itemset
Frequent Itemset
Infrequent items
Threshold values
How do you calculate Confidence (A -> B)?
Support(A ∩ B) / Support (A)
Support(A ∩ B) / Support (B)
Support(A ∪ B) / Support (A)
Support(A ∪ B) / Support (B)
For the question given below consider the data Transactions :
1. I1, I2, I3, I4, I5, I6
2. I7, I2, I3, I4, I5, I6
3. I1, I8, I4, I5
4. I1, I9, I10, I4, I6
5. I10, I2, I4, I11, I5
<I1>, <I2>, <I4>, <I5>, <I6>, <I1, I4>, <I2, I4>, <I2, I5>, <I4, I5>, <I4, I6>, <I2, I4, I5>
<I2>, <I4>, <I5>, <I2, I4>, <I2, I5>, <I4, I5>, <I2, I4, I5>
<I11>, <I4>, <I5>, <I6>, <I1, I4>, <I5, I4>, <I11, I5>, <I4, I6>, <I2, I4, I5>
<I1>, <I4>, <I5>, <I6>
Which of the following is required by K-means clustering?
Defined distance metric
Number of clusters
Initial guess as to cluster centroids
All of the above
In the K-means algorithm for partitioning, each cluster is represented by the ___ of objects in the cluster.
Means
Medians
Modes
Members
A perceptron is:
a single layer feed-forward neural network with pre-processing
an auto-associative neural network
a double layer auto-associative neural network
a neural network that contains feedback
