نتایج جستجو برای: nigeria jel classification f1
تعداد نتایج: 583925 فیلتر نتایج به سال:
Abstract: In disease gene identification and classification, users are only interested in classifying one specific class, disease genes, without considering other classes (non-disease genes). This situation is referred to as one-class classification. Existing machine learning-based methods typically use known disease gene as positive training set and unknown genes as negative training set to bu...
چکیده: موضوع توزیع درآمد عواملی و تاثیر آن بر نابرابری، در ادبیات کلاسیک اقتصادی از ارکان اصلی مطالعات بوده است. اما با تکیه اقتصاددانان قرن بیستم اعم از کینزی ها و نئوکلاسیک ها بر ثبات سهم عوامل این بحث از رونق می افتد. در نهایت پساکینزی ها ضمن قبول امکان تغییر در سهم عوامل، ارتباط توزیع درآمد شخصی و عواملی را رد می کنند. نوشته ی حاضر با احتساب کارگران غیر ماهر در معادلات بازار کار، با رد نظ...
The specific characteristic of classification of medical documents from the MEDLINE database is that each document is assigned to more than one category, which requires a system for multilabel classification. Another major challenge was to develop a scalable method capable of dealing with hundreds of thousand of documents. We proposed a novel system for automated classification of MEDLINE docum...
In this paper, we empirically investigate the relationship between oil price changes and output in a group of oil exporting countries. The dynamics of business cycles in Libya, Saudi Arabia, Nigeria, Kuwait, Venezuela and Qatar are modeled by alternative regime switching models. We show that the extension of uni-variate Markov Switching model in order to include oil revenue improves dating busi...
abstract the purpose of this paper is to test the hypothesis first proposed by romer (1993); suggesting that inflation is lower in more open economies. according to this hypothesis, central banks have a lower incentive to engineer surprise inflations in more-open economies because the phillips curve is steeper. furthermore, comparing with other empirical studies, this paper has used the new kof...
This paper investigates the properties of the widely-utilized F1 metric as used to evaluate the performance of multi-label classifiers. We show that given an uninformative binary classifier, F1-optimal thresholding is to predict all instances positive. More surprisingly, we prove a relationship between the optimal threshold and the best achievable F1 score over all thresholds. We demonstrate th...
This paper provides new insight into maximizing F1 measures in the context of binary classification and also in the context of multilabel classification. The harmonic mean of precision and recall, the F1 measure is widely used to evaluate the success of a binary classifier when one class is rare. Micro average, macro average, and per instance average F1 measures are used in multilabel classific...
This study investigates the impact of monetary policy on balance of payments (BOP) adjustment in Nigeria within the periods, 1980-2015. The study used the bound testing approach to show the relationship that exists among monetary policy variables (money supply, domestic credit, inflation and exchange rate), output growth, and trade balance and BOP adjustment in Nigeria. The study shows that the...
Several studies abound that concentrated on oil production and the environment, exploration socio-economic conditions, contributions of crude consumption to growth Nigerian state, etc. But there are no recent investigating production- GDP nexus. Hence, main goal this study is explore contribution national from an oil-dependent economy Annual time series data its rate represented side nexus whil...
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