A Supervised Classification Task is a Class Prediction Task that is a Supervised Learning Task.
References
2000
1996
- (Domingos, 1996) => Pedro Domingos. (1996). "Unifying Instance-Based and Rule-Based Induction." In: Machine Learning, 24(2). [doi>10.1023/A:1018006431188]
- Inductive learning is the explicit or implicit creation of general concept or class descriptions from examples. Many induction problems It can be described as follows. A training set of preclassified examples is given, where each example (also called observation or case) is described by a vector of features or attribute values, and the goal is to form a description that can be used to classify previously unseen examples with high accuracy.
1995
- (Kohavi, 1995) => Ron Kohavi. (1995). "A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection." In: Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence (IJCAI 1995).
- A classifier is a function that maps an unlabelled instance to a label using internal data structures. An inducer or an induction algorithm builds a classifier from a given dataset. CART and C 4 5 (Brennan, Friedman Olshen &. Stone 1984, Quinlan 1993) are decision tree inducers that build decision tree classifiers. In this paper we are not interested in the specific method for inducing classifiers, but assume access to a dataset and an inducer of interest.