Machine Learning Techniques 2025

What is the goal of the Find-S algorithm in machine learning?

• Find the smallest dataset

• Find the most general hypothesis

• Find the most specific consistent hypothesis

• Find the nearest neighbors

Which linkage method in hierarchical clustering uses the minimum distance between clusters?

• Complete Linkage

• Average Linkage

• Single Linkage

• Ward’s Method

In K-Medoids clustering, medoids are:

• Mean of cluster points

• Random points outside the dataset

• Actual data points within the cluster

• Center of mass of points

What is the decision boundary in logistic regression?

• A region with maximum margin

• A point where the output probability is 0.5

• A cluster centroid

• The mean of all outputs

Which of the following is an unsupervised learning method?

• Logistic Regression

• Decision Tree

• K-Means Clustering

• Naive Bayes

In neural networks, the role of an activation function is to:

• Add bias to input

• Introduce non-linearity

• Normalize the weights

• Adjust the learning rate

Which one is an ensemble learning method that combines multiple decision trees?

• Support Vector Machine

• Random Forest

• K-Means

• Perceptron

In rule-based learning, ordered rule lists are evaluated:

• Randomly

• From last to first

• Sequentially from first rule to last

• Based on support value

In data preprocessing, handling missing values by replacing them with the mean is called:

• Normalization

• Imputation

• Scaling

• Feature Extraction

In Apriori algorithm, "support" refers to:

• Likelihood of an item appearing in a transaction

• Confidence of an association rule

• Strength of a cluster

• Decision boundary margin