A Classification Algorithm for Assessing the Quality Criteria for Business Process ModelsBusiness process (BP) models are presented as a major key in the design and analysis of information systems and are considered as a good mechanism for communication among the stakeholders...doi...
The class is independent of the selected machine learning algorithm, the training, the labeling process, and the type of observations.Contrary to Java, which defines an enumerator as a class of types, Scala requires enumerators to be singletons that inherit the functionality of the Enumeration ...
2 Methodology: Joint Semi-parametric Mixed-Effects Model for a Multinomial Response In this section, we first recall the basics of a mixed-effects multinomial model with discrete random effects (Section 2.1), and then, we present the JMSPME model and its algorithm (Section 2.2). 2.1 State of...
Classification models are alsocalled classifiers, although the latter term sometimes alsorefers to classification algorithms, used to find (generate)classification models.2.2.Scoring and Probabilistic ClassifiersFor two-class classification tasks (single concepts) a par-ticular kind ofscoring(orranking) ...
Seen through the prism of systematic and holistic approaches, the intricate interactions and indispensable dependencies nature between EET ecological network and IEA social network make isolated single-system analysis infeasible and inaccurate. To fit IEA and trade-embodied carbon flow data into the ...
Visual demonstration of a nested CV algorithm with 5 outer folds and 5 inner folds. Notice that the fifth CV fold’s training set (in green) is used to run an inner iteration of fivefold CV (the blue and yellow folds). In our study, we also evaluate another type of CV procedure call...
Single-reviewer screening, on average, included a similar proportion of abstracts as the machine-assisted approach (7% [n = 152]; range 5 to 10% [n = 109 to 217]). By comparison, DistillerAI, on average, rated only 2% (n = 43; range 1 to 3% [n = 22 to 65]...
2.2. Construction of a rural human settlement environment indicator system for agritourism integration based on the “dual-carbon” perspective 2.2.1. Classification of Indicator System In constructing the evaluation index system for the living environment of agriculture-tourism integrated rural areas, this...
(i.e., feature set + algorithm). In this experiment, we consider only the set of features proposed by each detector, and we merge them to create a single set of features. This latter is then used to train an ML algorithm to construct a new malware detector. Since the studied state-...
This algorithm has been successfully applied in predicting gully erosion in Iran34. Random forest data mining model Random forest (RF) is a supervised classifier35,36 that consists of many decision trees and has low error in contrast to other classification algorithms. In this study, the number ...