18C5T13 Study Guide - Final Guide: Centroid, Overfitting, Exploratory Data Analysis
11 Aug 2021
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Unit- ii:beyond binary classification:handling more than two classes, regression, Concept learning: the hypothesis space, paths through the hypothesis space, beyond conjunctive concepts. Examples of classification problems include: given an example, classify if it is spam or not. Given a handwritten character, classify it as one of the known characters. In machine learning, classification refers to a predictive modeling problem where a class label is predicted for a given example of input data. Eg: classification predictive modeling, binary classification, multi-class classification. 7 what is association rule discovery? is machine learning rule learning. Association method or discovering interesting relations between variables in large databases. It is intended to identify strong rules discovered in databases using some measures of interestingness. a rule-based. In this type, the dataset is divided into a set of k groups, where k is used to define the number of pre-defined groups.
