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84 results for “predictive analysis”
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Research ArticleOpen accessIn the abstractPrediction of Body Weight of Yearling Boer Goats from Morphometric Traits using Classification and Regression TreeMadumetja Cyril Mathapo, Thobela Louis TyasiClassification and Regression Tree (CART) is a predictive algorithm method used to explains how the dependent variable can be predicted using independent variables (numerical and characters). The study was conducted to investigate the relationship between body weight and morphometric traits (Body Length (BL), Heart Girth (HG), Rump Height (RH), Rump Width (RW), Ear Length (EL), Cannon Circumference (CC) and Head … …American Journal of Animal and Veterinary Sciences, Vol. 16, Issue 2 · 3 May 2021 · 8,444 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Descriptive Analysis of Students Learning Skills Using Bloom’s Revised TaxonomyJoy Christy Antony Sami, Umamakeswari ArumugamThe academic committees worldwide suggest technical institutions to follow Revised Bloom’s Taxonomy (RBT), a framework that helps to develop learning objectives. The model classifies a hierarchy of educational objectives such as cognitive, sensory and affective domains that are not only helping the students to evolve thinking abilities but also to identify the skills they are lacking with. Analysis of students … …Journal of Computer Science, Vol. 16, Issue 2 · 4 Sep 2019 · 8,544 accessesView PDFCite
Research ArticleOpen accessIn the abstractRandom Forest Based Feature Selection of Macroeconomic Variables for Stock Market PredictionIsaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam WeyoriA firm’s equity price on the stock-market is reported to be closely related to the Macroeconomic Variable (MVs) of the country in which the firm trades. For this reason, researchers, market traders, financial analysts and forecasters to examine the association between MVs and stock-price have carried out numerous studies, using time-series statistical analysis methods like Autoregressive Integrated Moving Average (ARIMA), … …American Journal of Applied Sciences, Vol. 16, Issue 7 · 31 Jul 2019 · 10,240 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Support and Resistance Indicators for Stock Market with Fibonacci Sequence in Long Short-Term MemoryThambusamy Velmurugan, Thiruvalluvan IndhumathyPredictive data analytics is a branch of data analytics where models are designed that effectively interpret; anticipate outcomes by analyzing present data to make predictions about future. One of the major attributes for prediction is time and there have been a considerable number of time series analytical models that are used for forecasting. Long Short-Term Memory (LSTM) is a deep … …Journal of Computer Science, Vol. 16, Issue 10 · 28 Oct 2020 · 7,323 accessesView PDFCite
Research ArticleOpen accessIn the abstractHeterogeneities and Intra Sand-Body Compartmentalization in Late Oligocene Delta-Front Deposit, Niger Delta, NigeriaRaphael Oaikhena Oyanyan, Michael Ndubuisi OtiThis paper presents the study of the heterogeneity in lithofacies, porosity, permeability, mineral grain density, pore-throats sizes and hydraulic rock types and the intra sand-body compartmentalization in cored delta-front deposit of Greater Ughelli depobelt of Niger Delta. Sedimentological study of core samples results in the identification of nine lithofacies and the interpretation of environments of deposition as mainly proximal and … …Current Research in Geoscience, Vol. 6, Issue 1 · 28 Mar 2016 · 8,096 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Optimization with Multilayer Perceptron Neural Network and Using New Pattern in Decision Tree ComparativelyMurat Kayri, Omay CoklukProblem statement: The aim of the present study is to exemplify the use of Artificial Neural Networks (ANN) for parameter prediction. Missing value or unreal approach to some questions in scale is a problem for unbiased findings. To learn a real pattern with ANN provides robust and unbiased parameter estimation. Approach: To this end, data was collected from 906 students … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,205 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Acute-phase Reactants, Immunologic Markers and other Clinical and Laboratory Parameters in Patients with Pneumonia and Non-pneumonic Lower Respiratory Tract InfectionsJulio Collazos, María del Mar Martínez, Fernando IzquierdoMore efficacious tools to distinguish pneumonia from other acute lower respiratory tract infections (OALRTI) in facilities where radiologic studies are not easily or rapidly available are desirable to select the patients who should undergo chest radiographs, to avoid unnecessary visits to the emergency wards of hospitals and to optimize health resources. To this end we analyzed the relevance of many … …American Journal of Infectious Diseases, Vol. 3, Issue 1 · 31 Mar 2007 · 7,087 accessesView PDFCite
Research ArticleOpen accessIn the abstractPersonality Traits as Predictors towards Readiness to Change among Female Drug AddictsW.S. Wan Shahrazad, Z.M. Lukman, A.R. Roseliza Murni et al.Problem statement: Understanding the personality traits among women who are involved in drug addiction is a crucial issue prior to starting any intervention programs. It may provide an indication of their readiness to receive treatment and change this addictive behavior. This study was conducted to examine the predictive relationship between personality traits and readiness to change among women drug addicts … …American Journal of Applied Sciences, Vol. 8, Issue 2 · 28 Feb 2011 · 7,895 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnd Discharge Relationship for Free Overfall Affected by Upstream Bed Roughness and SlopeJaafar S. MaatooqThe experimental program of this paper was restricted to free vertical drop structure at the end of the rectangular channel. The roughness and slope of the bed of approach channel are the aim of this study to show their effects on End Depth Ratio (EDR). Three different roughness from smooth (n = 0.009) to rough (n = 0.019) with four-bed … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 2 · 5 Jun 2017 · 7,503 accessesView PDFCite
Research ArticleOpen accessIn the abstractMeasures of Explained Variation and the Base-Rate Problem for Logistic RegressionDinesh Sharma, Dan McGee, B.M. Golam KibriaProblem statement: Logistic regression, perhaps the most frequently used regression model after the General Linear Model (GLM), is extensively used in the field of medical science to analyze prognostic factors in studies of dichotomous outcomes. Unlike the GLM, many different proposals have been made to measure the explained variation in logistic regression analysis. One of the limitations of these measures … …Current Research in Biostatistics, Vol. 2, Issue 1 · 25 Feb 2012 · 8,584 accessesView PDFCite