The aim of this work is to decide the real usage of logistic regression in the market research tasks respecting the needs of final users of research results. The main argument for the final decision is the comparison of its output to the output of an alternative classification method used in practice -- a classification tree method. The topic is divided into three parts. The first part describes the theoretical framework and approaches linked to logistic regression (chapter 2 and 3). The second part analyses the experience with the usage of logistic regression in Czech market research companies (chapter 4) and the topic is closed by applying the method on real data and comparing the output to the classification tree output (chapter 5 and 6)
A success of the currently implemented projects and measures is determined not only by the urgency a...
The purpose of the study is to compare the most appropriate classification algorithms for making a d...
This bachelor's thesis deals with the machine learning model logistic regression.The aim is to close...
The aim of this work is to decide the real usage of logistic regression in the market research tasks...
This paper is about an instrumental research regarding the using of Logistic Regression model for d...
This thesis with title "Logistic Regression in the Managerial Decision-making" aims to introduce thi...
In this paper we focus on analysis of market research companies in the Slovak Republic by the metho...
Cílem práce je popis a funkce logistické regrese jako takové a ukázka aplikace této metody při posuz...
In this thesis we describe a classification of the binary data. For discussing this problem we use t...
The thesis presents a comparison of several selected modeling methods used by financial institutions...
The categorized data that will be analyzed in this paper will be of the type that will use the logis...
Celem artykułu jest opisanie głównych założeń i sposobu praktycznego zastosowania regresji logistycz...
This thesis focuses on comparison of selected data mining methods for solving classification tasks w...
Tato bakalářská práce si klade za cíl představit metodu pro tvorbu rozhodovacích stromů zvanou CHAID...
This study sheds light on the most common issues related to applying logistic regression in predicti...
A success of the currently implemented projects and measures is determined not only by the urgency a...
The purpose of the study is to compare the most appropriate classification algorithms for making a d...
This bachelor's thesis deals with the machine learning model logistic regression.The aim is to close...
The aim of this work is to decide the real usage of logistic regression in the market research tasks...
This paper is about an instrumental research regarding the using of Logistic Regression model for d...
This thesis with title "Logistic Regression in the Managerial Decision-making" aims to introduce thi...
In this paper we focus on analysis of market research companies in the Slovak Republic by the metho...
Cílem práce je popis a funkce logistické regrese jako takové a ukázka aplikace této metody při posuz...
In this thesis we describe a classification of the binary data. For discussing this problem we use t...
The thesis presents a comparison of several selected modeling methods used by financial institutions...
The categorized data that will be analyzed in this paper will be of the type that will use the logis...
Celem artykułu jest opisanie głównych założeń i sposobu praktycznego zastosowania regresji logistycz...
This thesis focuses on comparison of selected data mining methods for solving classification tasks w...
Tato bakalářská práce si klade za cíl představit metodu pro tvorbu rozhodovacích stromů zvanou CHAID...
This study sheds light on the most common issues related to applying logistic regression in predicti...
A success of the currently implemented projects and measures is determined not only by the urgency a...
The purpose of the study is to compare the most appropriate classification algorithms for making a d...
This bachelor's thesis deals with the machine learning model logistic regression.The aim is to close...