[PDF] Top 20 Detection of Propaganda Using Logistic Regression
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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 ... See full document
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Using Logistic Regression Model To Construct Insulator Spark Detection System
... spark detection system (VIISDS) associated with logistic regression model to study the relationship between spark discharge and leakage current in transmission ...The logistic ... See full document
8
Credit Card Fraud Detection using Logistic Regression and Bayesian Network
... fraud detection flow starts with data collection and migrating the data to data repository first, thereinafter the noise will be removed using data pre-processing techniques, hereinafter the feature ... See full document
6
Logistic regression scoring index for detection of interstitial lung disease
... tissue using the high resolution computed tomography ...of logistic regression in developing a scoring index, x , to investigate the presence of ... See full document
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Feature Rich Error Detection in Scientific Writing Using Logistic Regression
... a logistic regres- sion model using only these ...model using the F1-scores for both tracks of the shared task, as defined in (Dau- daraviˇcius, ... See full document
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Land Titling: A Sine Qua Non For Enhancing Property Taxation
... URL detection plays a serious role for many cyber security applications, and networking ...URL detection by using machine learning algorithm called logistic regression, it obtains ... See full document
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Prediction of Rainfall Using Logistic Regression
... The original climatic data of Bihar contain 5606 observations, which are the daily data, measured over a period of 16 years (1989 to 2004). After a very careful investigation we locate 31 observations as spurious because ... See full document
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Logistic regression applied to natural hazards: rare event logistic regression with replications
... event logistic regres- sion, as it is now commonly used in geomorphologic stud- ies, does not always lead to a robust detection of controlling factors, as the results can be strongly ...logistic ... See full document
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Bias in logistic regression due to imperfect diagnostic test results and practical correction approaches
... study are assumed to aptly apply to the study in ques- tion (i.e., ‘transportability’ assumption), which may not necessarily be the case if diagnostic procedures and stor- age conditions of diagnostic tests are ... See full document
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Prediction and detection models for acute kidney injury in hospitalized older adults
... tasks using different machine learning methods trained on large patient data of hospital ...models, logistic regression performed the ...early detection of AKI and allow im- plementation of ... See full document
11
Automating the Human Resource System A modular ICSA approach to Human Recruitment via Dynamic Emotional Evaluation
... recognition using adaboost, haar cascades on mouth detection and logistic regression, python with ...implemented using open-source computer vision (OpenCV) and machine learning with ... See full document
6
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 ... See full document
11
Predicting the Outcome of NFL Games Using Logistic Regression
... used logistic regression to analyze and predict the outcomes of games in the Canadian Football League (CFL), a sport with extremely similar rules, statistics, and only a few differentiating factors from the ... See full document
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An Investigation of Malaria Predictors Using Logistic Regression Model
... Malaria is a very dangerous disease and using mosquito treated nets are the best solution to avoid it especially now that mosquitoes are developing resistance to drugs. Efforts should be made to eliminate ... See full document
5
A Statistical Analysis Of Migration Using Logistic Regression Model
... out using logistic regression model and the study shows the significant status between Tamilnadu and India with reference to different ...India using secondary data from census of India during ... See full document
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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, ... See full document
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Modelling Cases of Spontaneous Abortion Using Logistic Regression
... sized, logistic regression is the best approach to ...miscarriage, logistic regression was used to predict response ...of logistic regression in building predictive model was a ... See full document
5
A computational approach to compare regression modelling strategies in prediction research
... This concept can in theory be extended to the com- parison of different modelling strategies. However, as- pects of modelling that involve sampling or data splitting have a random element, and repetition of the ... See full document
10
Multivariate logistic regression analysis using multilevel model
... linear regression models is the statistical independence of ...general regression models may not be ...multivariate logistic regression model using a multilevel model to exhibit the ... See full document
5
Comparative Analysis of Machine Learning Algorithms for their Effectiveness in Churn Prediction in the Telecom Industry
... the Logistic regression model on the balanced data has the highest area under the curve, which by convention proves to be the best model delivering high Accuracy and is more parsimonious model ... See full document
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