Predicting Financial Savings Decisions Using Sigmoid Function and Information Gain Ratio
نویسندگان
چکیده
منابع مشابه
Diagnosis of the disease using an ant colony gene selection method based on information gain ratio using fuzzy rough sets
With the advancement of metagenome data mining science has become focused on microarrays. Microarrays are datasets with a large number of genes that are usually irrelevant to the output class; hence, the process of gene selection or feature selection is essential. So, it follows that you can remove redundant genes and increase the speed and accuracy of classification. After applying the gene se...
متن کاملThe Effect of Providing Peer Information on Retirement Savings Decisions.
Using a field experiment in a 401(k) plan, we measure the effect of disseminating information about peer behavior on savings. Low-saving employees received simplified plan enrollment or contribution increase forms. A randomized subset of forms stated the fraction of age-matched coworkers participating in the plan or age-matched participants contributing at least 6% of pay to the plan. We docume...
متن کاملSavings Gluts and Financial Fragility∗
We investigate the effects of an increase in liquidity (a “savings glut”) on the incentives to originate high quality assets, and on the fragility of the financial sector. Originators incur private costs when originating high quality assets. Assets are subsequently distributed in two markets: A private market where informed intermediaries operate, and an exchange where uninformed investors trad...
متن کاملInformation Asymmetry within Financial Markets and Corporate Financing Decisions
It is worth noticing that a great deal of interest has recently been paid by the financial literature with respect to the relationship prevailing between the information asymmetry and the financing decisions regarding 150 firms listed on the SBF 250 index over the period ranging from 2005 to 2012. The achieved estimation results have revealed that most variables turn out to be significantly cor...
متن کاملFuzzy-rough Information Gain Ratio Approach to Filter-wrapper Feature Selection
Feature selection for various applications has been carried out for many years in many different research areas. However, there is a trade-off between finding feature subsets with minimum length and increasing the classification accuracy. In this paper, a filter-wrapper feature selection approach based on fuzzy-rough gain ratio is proposed to tackle this problem. As a search strategy, a modifie...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2016
ISSN: 1877-0509
DOI: 10.1016/j.procs.2016.07.176