Solution

Match the LIST-I with LIST-II

The correct answer is Option 3.

Key Points

• Decision Tree (A) is linked with the C4.5 Algorithm (III) which is a well-known algorithm used to generate a decision tree.
• Supervised Learning (B) can be associated with Non-linear Regression Algorithm (IV) as it involves using labeled data to predict outcomes.
• Artificial Neural Network (C) is connected to the Delta Learning Rule (I) which is used to adjust the weights in the network.
• Instance base Learning (D) relates to the Self Organizing Map (II) which is a type of artificial neural network that uses unsupervised learning to produce a low-dimensional representation of the input space.

Additional Information

• The C4.5 algorithm is an extension of the earlier ID3 algorithm and is used for generating a decision tree based on labeled input data.
• Supervised learning algorithms, including non-linear regression, are used for making predictions based on input-output pair datasets.
• The Delta Learning Rule is a gradient descent learning rule used for training artificial neural networks.
• Self Organizing Maps are used for clustering and visualizing high-dimensional data in a low-dimensional space.