Search results for "classification tree"

showing 3 items of 3 documents

Computational identification of chemical compounds with potential anti-Chagas activity using a classification tree

2021

Chagas disease is endemic to 21 Latin American countries and is a great public health problem in that region. Current chemotherapy remains unsatisfactory; consequently the need to search for new drugs persists. Here we present a new approach to identify novel compounds with potential anti-chagasic action. A large dataset of 584 compounds, obtained from the Drugs for Neglected Diseases initiative, was selected to develop the computational model. Dragon software was used to calculate the molecular descriptors and WEKA software to obtain the classification tree. The best model shows accuracy greater than 93.4% for the training set; the tree was also validated using a 10-fold cross-validation p…

Chagas diseaseComputer scienceTrypanosoma cruziAntiprotozoal AgentsQuantitative Structure-Activity RelationshipBioengineeringLigandsMachine learningcomputer.software_genre01 natural sciencesConstant false alarm rateSoftwareMolecular descriptorDrug DiscoveryChagas Diseaseclassification treeVirtual screeningMolecular Structure010405 organic chemistrybusiness.industryDecision tree learningGeneral Medicinevirtual screening0104 chemical sciences010404 medicinal & biomolecular chemistryIdentification (information)Tree (data structure)Anti-chagasic actionTest setMolecular MedicineArtificial intelligencebusinesscomputerSoftware
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Recursive partitioning: an approach based on the weighted kemeny distance

2015

In the framework of preference rankings, the interest can lie in finding which predictors and which interactions are able to explain the observed preference structures. The possibility to derive consensus measures using a classification tree represents a novelty and an important tool, given its easy interpretability. This work proposes the use of a univariate decision tree for ranking data based on the weighted Kemeny distance. The performance of the methodology will be shown by using a real dataset about university rankings.

Classification tree distance based methods ranking data Kemeny distance.Settore SECS-S/01 - Statistica
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Site quality evaluation by classification tree: an application to cork quality in Sardinia

2005

Cork harvesting and stopper production represent a major forest industry in Sardinia (Italy). The target of the present investigation was to evaluate the ‘‘classification tree’’ as a tool to discover possible relationships between microsite characteristics and cork quality. Seven main cork oak (Quercus suber) producing areas have been identified in Sardinia, for a total of more than 122,000 ha. Sixty-three sample trees, distributed among different geographical locations and microsite conditions, were selected. A soil profile near each sample tree was described, soil samples were collected and analysed. After debarking, cork quality of each sample tree was graded by an independent panel of e…

biologySoil testEcologyDecision tree learningSite classification and evaluationLogistic regressionForestryClassification Tree MethodForestryClassification treePlant ScienceQuercus suberMicrositeCorkengineering.materialbiology.organism_classificationTree (data structure)Quercus suberCork qualityengineeringSoil horizonMathematics
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