'Default class' diaporamas de présentation

AMCS/CS 340: Data Mining

Classification I: Decision Tree. AMCS/CS 340: Data Mining. Xiangliang Zhang King Abdullah University of Science and Technology. Given a collection of records ( training set ) Each record contains a set of attributes , one of the attributes is the class .

1.2k views • 91 slides

Classification Basic Concepts, Decision Trees, and Model Evaluation

Classification Basic Concepts, Decision Trees, and Model Evaluation. Classification definition. Given a collection of samples ( training set ) Each sample contains a set of attributes . Each sample also has a discrete class label .

805 views • 67 slides

Specific topics of the Java Language Related to This Class

Specific topics of the Java Language Related to This Class. Classes and objects (section 1.1) Methods (section 1.2) Variables and expressions (section 1.3) Control flow (section 1.4) Arrays (section 1.5) Input and Output (section 1.6) Packages (section 1.8) Exceptions (section 2.3)

638 views • 44 slides

Lesson1 How to get started with Java

Lesson1 How to get started with Java. Description Versions 1.0 and 1.1 of the Java toolkit were called the Java Development Kit , or JDK . Versions 1.2 through 1.4 of the Java toolkit are called the Software Development Kit , or SDK .

518 views • 41 slides

RIPPER Fast Effective Rule Induction

RIPPER Fast Effective Rule Induction. Machine Learning 2003 Merlin Holzapfel & Martin Schmidt Mholzapf@uos.de Martisch@uos.de. Rule Sets - advantages. easy to understand usually better than decision Tree learners representable in first order logic > easy to implement in Prolog

554 views • 31 slides

412 views • 27 slides