logistic regression
A Hierarchical Approach for Multi task Logistic Regression
... The experiments performed using two data sets from the UCI database, and a face classification problem using the AR Face data base suggest that the multi- task approach fares better than a single task learning of the ...
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An ensemble of ordered logistic regression and random forest for child garment size matching
... Size fitting is a significant problem for online garment shops. The return rates due to size misfit are very high. We propose an ensemble (with an original and novel definition of the weights) of ordered logistic ...
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A Comparative Study of Logistic Regression Model in Color Doppler Ultrasound Diagnosis of Breast Cancer
... factor Logistic regression analysis were carried out for malignant signs, and regression model was established to predict the risk of breast disease according to the ultrasonic ...
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Optimizing Logistic Regression Coefficients for Discrimination and Calibration Using Estimation of Distribution Algorithms.
... Optimizing logistic regression coefficients for discrimination and calibration using estimation of distribution algorithmsV. Ohno-Machado.[r] ...
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System failure prediction through rare-events elastic-net logistic regression
... This method uses Elastic Net Logistic Regression [2] as its base algorithm, overlays it with two layers of cross-validation for the automatic optimal tuning of the model's parameters [r] ...
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Public and private sector response to mutual funds in Pakistan using binary logistic regression
... We run the binary logistic regression because the dependent variable is categorical. Results in above table show except for risk perception all variables significantly affect the investor behavior. Return ...
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Building vulnerability to hydro-geomorphic hazards: Estimating damage probability from qualitative vulnerability assessment using logistic regression
... Figure 5 Left: Damage level observed for different material types of retaining walls. Right: 505[r] ...
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Regularized logistic regression and multi-objective variable selection for classifying MEG data
... Figure 10 shows the classification accuracy achieved in the complete set of 15 subjects and with the raw+correlation type of information for all the channels, the occipitoparietal c[r] ...
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Logistic regression for simulating damage occurrence on a fruit grading line
... This process leads to a bruise probability p' when substituting the generated x\ in function g(-). Finally, we determine whether or not the fruit is damaged at the transfer point in qu[r] ...
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Hepatitis C Virus Infection Outcomes Among Immigrants to Canada: A Retrospective Cohort Analysis
... Introduction and aim. HCV-infected immigrants contribute to the total prevalence in Canada and other developed nations. Little is known about engagement in care, access to service, and treatment outcomes in recipients of ...
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Comportamiento reproductivo y producción de leche de vacas con lactancias prolongadas (15 a 40 Meses)
... To analyze risk factors contributing to the occurrence of extended lactation (defined as a binary trait distinguishing between cows with more than 450 days in milk (1) and cows less than 450 days of lactation (0)), a ...
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Pre-hospital antibiotic treatment and mortality caused by invasive meningococcal disease, adjusting for indication bias.
... A logistic regression analysis was then carried out, using death as the dependent variable, and pre- hospital antibiotic use, age, time from onset of symptoms to parenteral antibiotics and the propensity ...
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TítuloLeukocyte telomere length in patients with radiographic knee osteoarthritis
... Nevertheless, logistic regression analysis showed that PBL telomere size was a consistent risk factor for concurrent knee OA, independent of these health ...
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← Return to Article Details Differential Item Functioning and Educational Risk Factors in Guatemalan Reading Assessment
... Estimation of the statistical significance of DIF. We used three computational methods to estimate the statistical significance of DIF. Firstly, we estimated the Mantel-Haenszel chi-square and the Breslow-Day chi- square ...
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Testing for niche segregation between two abundant carnivores using pre- sence-only data
... the logistic regression deals with the capability of predicting individual cases whereas niche overlap indexes consider all the cases ...by logistic regression analyses would be those adding ...
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TítuloEvaluation of humoral immunity profiles to identify heart recipients at risk for development of severe infections: a multicenter prospective study
... Table 2 Multivariate Logistic Regression Analysis of Immunologic Risk Factors for Development of Severe Infection Variable Pre-HT IgG hypogammaglobulinemia < 600 mg/dl Pre-HT C3 < 126 mg[r] ...
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Design and development of a hate speech detector in social networks based on Deep Learning technologies
... In order to optimize the algorithm behaviour, the GridSearchCV tool provided by Scikit- learn has been used. This module allows you to know the hyper-parameters that give the best results to a classifier when classifying ...
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Prediction of postpartum depression using multilayer perceptrons and pruning.
... While logistic regression models detect only linear relationships be- tween the independent variables and the de- pendent variable, the neural network models can also detect non-linear ...with ...
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Gastroprotection during the administration of non steroidal anti inflammatory drugs A drug utilization study
... of logistic regression has been built, with which we can estimate probabilities as a function of the various patient characteristics or the health care setting where the prescription was done (logit= ...
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