C4.5: programs for machine learning
C4.5: programs for machine learning
Machine Learning
Machine Learning
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Analyzing Receiver Operating Characteristic Curves With SAS
Analyzing Receiver Operating Characteristic Curves With SAS
| Hi-index | 0.00 |
We present the practical aspects of large scale AI-based solutions, by analysing an application of Artificial Intelligence for estimation of Open Source projects being hosted on the leading platform for Open Source - Sourceforge.net We start by introducing the steps of data extraction task, that transformed tens of tables and hundreds of fields, originally designed to be used by web-based project collaboration system, into four datasets–dimensions important to the project management i.e skills, time, costs and effectiveness Later, we present the structure and results of experiments, that were performed using various algorithms i.e decision trees (C4.5, RandomTree and CART), Neural Networks and Bayesian Belief Networks Later, we describe how metaclassification algorithms improved the prediction quality and influenced the generalization ability or prediction accuracy In the final part we evaluate the deployed algorithms from practical point of view, presenting their characteristic beyond purely scientific perspective.