The goal of supervised learning is to build a concise model of the distribution of class labels
in terms of predictor features. The resulting classifier is then used to assign class labels to …

Supervised classification is one of the tasks most frequently carried out by so-called
Intelligent Systems. Thus, a large number of techniques have been developed based on …

In the last decade a large number of supervised learning methods have been introduced in
the field of the machine learning. Supervised learning became an area for a lot of research …

Performance assessment of a learning method related to its prediction ability on
independent data is extremely important in supervised classification. This process provides …

The first three examples described in Chapter 1 have several components in common. For
each there is a set of variables that might be denoted as inputs, which are measured or …

Machine learning methods are now an important tool for scientists, researchers, engineers,
and students in a wide range of areas. Many years ago, one could publish papers …

In this note we use examples from the literature to illustrate some poor practices in
assessing the performance of supervised classification rules, and we suggest guidelines for …

The fundamental goal of machine learning (ML) is to inculcate computers to use data or
former practice to resolve a specified problem. Artificial intelligence has given us incredible …

One of the core objectives of machine learning is to instruct computers to use data or past
experience to solve a given problem. A good number of successful applications of machine …

A great many tools have been developed for supervised classification, ranging from early
methods such as linear discriminant analysis through to modern developments such as …