AI Lab II

Among the following option identify the one which is not a type of learning

• Semi unsupervised learning

• Supervised learning

• Unsupervised learning

• Reinforcement learning

Identify the kind of learning algorithm for  “facial identities for facial expressions”.

• Prediction

• Recognition patterns

• Recognizing anomalies

• Generating patterns

Identify the type of learning in which labeled training data is used.

• Semi unsupervised learning

• Supervised learning

• Unsupervised learning

• Reinforcement learning

Which of the following machine learning techniques helps in detecting the outliers in data?

• Classification

• Clustering

• Anomaly detection

• Regression

What does K stand for in K mean algorithm?

• Number of clusters

• Number of instances

• Number of iterations

• Number of attributes

Identify the odd one

• Linear regression

• Logistic regression

• Decision tree

• Clustering

What does the term overfitting refers to in machine learning?

• Overfitting is a modeling error which occurs when a machine learning model is too closely fit to a limited set of data points.

• Overfitting occurs when a statistical model or machine learning algorithm captures the noise of the data.

• Overfitting is when data is lost

• Overfitting occurs when we have multi-dimensional data

Identify the overfitted machine learning model?

• 
• 
• 
• None of the above

Identify the underfitted machine learning model?

• 
• 
• 
• None of the above

How do you handle missing or inappropriate data in a dataset?

• Drop missing rows or columns

• Replace missing values with mean/median/mode

• Assign a unique category to missing values

• All of the above