Data Analysis: Classification and Prediction

Classification predicts categorical labels, while prediction models continuous valued functions.

Categorizing bankloan applications as safe or risky.

Prediction model

<p>Numeric prediction</p> Signup and view all the answers

<p>Learning step and classification step</p> Signup and view all the answers

<p>To build a classifier by analyzing a training set of database tuples and their associated class labels.</p> Signup and view all the answers

<p>The class label attribute determines the predefined class to which each tuple belongs. It is categorical, discrete-valued, and unordered.</p> Signup and view all the answers

<p>Using a test set helps to provide a more realistic estimate of the classifier's accuracy, as it is independent of the training tuples and can detect overfitting.</p> Signup and view all the answers

<p>Data cleaning aims to remove or reduce noise, treat missing values, and improve the accuracy, efficiency, and scalability of the classification or prediction process.</p> Signup and view all the answers

<p>Training tuples can be referred to as samples, examples, instances, data points, or objects.</p> Signup and view all the answers