1. Model evaluation criteria for regression and classification algorithms;

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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Task: Describe the following two points below:

 
1. Model evaluation criteria for regression and classification algorithms;
 
2. Techniques towards a model's best data fit for parametric machine learning algorithms, non parametric
machine learning algorithms and artificial neural networks.
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Regression :

Supervised learning methods include regression and classification techniques. Both algorithms employ labeled datasets and are used for prediction in machine learning. However, how they are applied to various machine learning issues is where they diverge from one another.

Classification :

Finding a function to divide the dataset into classes based on several parameters is the process of classification. In classification, data is divided into various classes by a computer program that has been trained on the training dataset.

 

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