Using Logistic Regression
A Framework for Speech Recognition using Logistic Regression
... recognition using logistic regression, we dealt with the sequence labeling problem by using a two-step ...of logistic regression to obtain a subword probability for each ...with ...
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Churn Analysis in Telecommunication Using Logistic Regression
... is Logistic Regression (backward logistic regression) and this helps to identity the probable churn customers and then make the necessary business ...decisions. Using a decision tree ...
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Classifying Text-Based Emotions Using Logistic Regression
... [email protected] Abstract: Emotion detection textual content is getting popular among individuals and business companies to analyze user emotional reaction on the products they use. In this work, emotion detection ...
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A Statistical Analysis Of Migration Using Logistic Regression Model
... years, logistic regression, migration, odds ratio, Wald’s statistic ...INTRODUCTION Logistic Regression has been used in the biological sciences in early twentieth ...A logistic ...
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IDENTIFIC ATION OF SOFTWARE EROSION USING LOGISTIC REGRESSION
... In this research paper it is apparent that for each class (No rot, Low rot, Medium rot, High rot) that the Logistic regression algorithm is able to clearly categorize among the data pattern for each class. ...
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IDENTIFIC ATION OF SOFTWARE EROSION USING LOGISTIC REGRESSION
... In this research paper it is apparent that for each class (No rot, Low rot, Medium rot, High rot) that the Logistic regression algorithm is able to clearly categorize among the data pattern for each class. ...
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Credit Risk Analysis Using Logistic Regression Modeling
... modeling using logistic regression analysis to identify demographic and behavioral characteristics associated with likelihood to default on a bank ...model using several diagnostic analytic ...
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Prediction of unwanted pregnancies using logistic regression, probit regression and discriminant analysis
... household, using logistic regression, probit regression, and linear discriminant analysis ...the logistic and probit regression models, variables such as parity and pregnancy ...
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Detection of Propaganda Using Logistic Regression
... propagandistic and non-propagandistic sentences. We further explored the efficiency of semantic features extracted from BERT. The BERT feature improves the most among all the features in Lo- gistic Regression by ...
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Prediction of Rainfall Using Logistic Regression
... So it is essential to be able to predict rainfall by finding out the appropriate predictors. In this paper an attempt has been made to use logistic regression for predicting rainfall. It is evident that the ...
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Deforestation modelling using logistic regression and GIS
... and logistic regression analyses were employed to predict the spatial distribution of deforestation and detects factors influencing forest degradation of Hyrcanian forests of western Gilan, ...The ...
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Detection of Internet Scam Using Logistic Regression
... We propose to reduce the omissions and biases in blacklists by integrating information from various heterogeneous sources, particularly focusing on the quantitative measurements that are hard to manipulate, such as the ...
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Trauma scoring models using logistic regression.
... the logistic regression model although only a few have been incorporated into statistical software ...a logistic model can be changed from being a poor fit to a good ...tests using the revised ...
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Nonresponse Adjustment Using Logistic Regression: To Weight or Not To Weight?
... fit using unweighted stepwise regression with weights as ...weighted regression and the unweighted regression without weights as ...the logistic regression ...
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An Investigation of Malaria Predictors Using Logistic Regression Model
... a logistic regression model using maximum likelihood estimation is ...model using Kebbi State malaria data established that there is significant relationship between malaria status and such ...
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PREDICTING STATE OF TRAFFIC SIGNS USING LOGISTIC REGRESSION
... Abstract: Traffic signs as part of the overall traffic signalization system convey a message to road users using shapes, colours, text and symbols. They inform road users about regulations, warnings, directions, ...
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Modelling Cases of Spontaneous Abortion Using Logistic Regression
... employed logistic regression to model miscarriage's risk factors, investigate socio demographic and lifestyle factors, to investigate interactions among identified risk factors and fit a predictive ...
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Predicting the Outcome of NFL Games Using Logistic Regression
... 7. Conclusions and Future Work We explored the effectiveness and accuracy of Logistic Regression methodology in predicting the outcome of NFL games. Our process began with transforming large amount of raw ...
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Logistic Regression
... 1. To capture data seasonality While using a single performance window, the assumption is that the parameters of the model are constant over time. However, the economic environment often changes considerably and ...
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Logistic Regression.
... 5. Logistic regression does not require that the independents be ...6. Logistic regression does not require that the independents be ...multinomial logistic regression, ...the ...
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