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Commonly used evaluation measures including Recall, Precision, F-Factor and Rand Accuracy are biased and should not be used… Expand List of Tables List of Figures Preface About the Authors Chapter 1: Introduction Observational Studies History and Development… Expand This article reviews the state-of-the-art in overlapping community detection algorithms, quality measures, and benchmarks. A… Expand In this paper, we describe how we created two state-of-the-art SVM classifiers, one to detect the sentiment of messages such as… Expand 1. Introduction 2. Concepts, theories and models, and types of measurements 3. The development of a measurement instrument 4… Expand Different evaluation measures assess different characteristics of machine learning algorithms. The empirical evaluation of… Expand Discriminative reranking is one method for constructing high-performance statistical parsers (Collins, 2000). A discriminative… Expand We address the problems of 1/ assessing the confidence of the standard point estimates, precision, recall and F-score, and 2… Expand In this paper we propose two ways to deal with the imbalanced data classification problem using random forest. One is based on… Expand Machine learning for text classification is the cornerstone of document categorization, news filtering, document routing, and… Expand