[PDF] Top 20 Prediction of Rainfall Using Logistic Regression
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Prediction of Rainfall Using Logistic Regression
... assessments using psychometric scales, but it serves well for the likes of presence-absence data and it is also very popular to the statisticians (see McBride, 2005) after so many years of its ... See full document
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Horoscope Analysis and Astrological Prediction using Biased Logistic Regression (BLR)
... astrological prediction. The Logistic Regression is an existing classification algorithm that can be used for the classification of astrological data and it gives an accuracy of ...astrological ... See full document
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LOGISTIC REGRESSION MODEL FOR PREDICTION OF BANKRUPTCY
... developed using stepwise logistic regression with financial ratios to make bankruptcy ...by using financial ratios from 16 nationalised banks in ... See full document
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Bank Failure Prediction With Logistic Regression
... binary logistic regression method. The specificity of our prediction model is that it takes into account microeconomic indicators of bank ...obtained using our provisional model show that a ... See full document
7
Prediction of sitophilus oryzae gender using Logistic Regression model
... the prediction of ...analysed using Logistic Regression (LR) Model in XLSTAT 2017: Data Analysis and Statistical Solution for Microsoft Excel Addinsoft, Paris, France ...oryzae using ... See full document
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Identifying the dependency pattern of daily rainfall of Dhaka station in Bangladesh using Markov chain and logistic regression model
... of rainfall and amount of rainfall and the other is the logis- tic regression procedure, which describes the dependence of one dichotomous dependent variable on other cate- gorical independent ... See full document
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Heart Disease Prediction (Empirically) Using Logistic Regression Analysis by Using SAS Software
... disease. Logistic regression analysis is applied for exploring the factors affecting the ...early prediction of cardiac diseases can aid in making decisions to lifestyle changes in high risk patients ... See full document
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PREDICTION OF STOCK PERFORMANCE IN INDIAN STOCK MARKET USING LOGISTIC REGRESSION
... Information Logistic regression (LR), which is helpful for predicting the presence or absence of a characteristic or outcome based on values of a set of predictor variables, is a multivariate analysis model ... See full document
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Prediction Of Mortality Using Logistic Regression Analysis In Female Patients Suffering From Myocardial Infarction
... a Logistic Regression model based on patient’s age, previous Myocardial Infarction event, smoking status, if a patient has diabetes or high blood pressure, or if the patient has previously experienced ... See full document
5
A Machine Learning Approach for Annual Rainfall Prediction Using Linear Regression Model
... Rainfall prediction. In our paper, we represent a method named Linear Regression to predict the annual rainfall in various states in India 4 ...annual rainfall, here we consider ... See full document
8
Ensembling Coalesce of Logistic Regression Classifier for Heart Disease Prediction using Machine Learning
... the prediction of heart disease is a questionable ...Disease Prediction dataset extracted from UCI Machine Learning Repository for analyzing and the prediction of heart disease by integrating the ... See full document
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A Heart Disease Prediction Model using SVM Decision Trees Logistic Regression (SDL)
... diseases using data mining has been an ongoing effort involving prediction, treatment, and risk score analysis with high levels of ...apply logistic regression, support vector machines, and ... See full document
5
Rainfall Prediction using Gaussian Process Regression Classifier
... administration. Prediction of rainfall can play impotent role for WRM (Water resource ...out using data mining techniques and machine learning ...atmosphere rainfall prediction became ... See full document
6
Effective System For Prediction Of Heart Disease By Applying Logistic Regression
... for prediction of coronary illness, containing 303 cases, which have been utilized for the preparation and testing of the created ...the regression technique like Logistic regression is being ... See full document
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A comparative study of logistic regression based machine learning techniques for prediction of early virological suppression in antiretroviral initiating HIV patients
... on-line prediction tools [20, 24 – ...gistic regression is popular among medical practitioners owing to its interpretability and ease of application without need for a ...Therefore, logistic ... See full document
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Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study
... the prediction of SGA and LGA have commonly used logistic regression to develop ...of logistic regression models include the comparatively easy implementation, the availability in all ... See full document
9
Prediction of unwanted pregnancies using logistic regression, probit regression and discriminant analysis
... the logistic regression model is more commonly used in observational studies, while the probit model is more fre- quently used in experimental ...the logistic regression model offers better ... See full document
11
Logistic Regression Model for Prediction of Airway Reversibility Using Peak Expiratory Flow
... is using PEF for predicting BDR, especially in airflow ...detected using a >20% increase in ΔPEF% with a sensitivity, specificity, PPV and NPV of 60%, ... See full document
6
Prediction of Antibiotics Residues in Raw Milk by Using Binary Logistic Regression Model
... possible regression equations between antibiotics residues parameters and chemical and microbial parameters of raw milk have been ...the regression equations and finding the best model, and drawing diagrams ... See full document
10
The Use Of Ohlson's O-Score For Bankruptcy Prediction In Thailand
... a logistic regression in which a two-value (binary) outcome is predicted by a variety of ...ordinary regression and is used most frequently to model the relationship between two outcome variables and ... See full document
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