The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Credit scoring using predictive models can help in the process of assessing credit worthiness during the credit evaluation process. The objective of credit scoring models is to assign credit risk score to determine if a customer is likely to default on the financial obligation. Construction of credit scoring models requires data mining techniques. Using historical data on payments, demographic characteristics...
In this paper, we discuss the challenge of making logistic regression models able to predict fault-prone object-oriented classes across software projects. Several studies have obtained successful results in using design-complexity metrics for such a purpose. However, our data exploration indicates that the distribution of these metrics varies from project to project, making the task of predicting...
In the case of full circulation of stocks, the ratio "the total market value of stocks/total debt" introduced in financial crisis early warning model can improve the warning mechanism. Through setting up the early warning mechanism and improving data processing, the consequence of operating the early warning mechanism would forecast better the degree and probability of a financial crisis...
Background: Outcome prediction for subarachnoid hemorrhage (SAH) helps guide care and compare global management strategies. Logistic regression models for outcome prediction may be cumbersome to apply in clinical practice. Objective: To use machine learning techniques to build a model of outcome prediction that makes the knowledge discovered from the data explicit and communicable to domain experts...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.