Fuel Economy Prediction using Feature Engineering
نویسندگان
چکیده
منابع مشابه
Feature Engineering in User's Music Preference Prediction
The second track of this year’s KDD Cup asked contestants to separate a user’s highly rated songs from unrated songs for a large set of Yahoo! Music listeners. We cast this task as a binary classification problem and addressed it utilizing gradient boosted decision trees. We created a set of highly predictive features, each with a clear explanation. These features were grouped into five categor...
متن کاملGlobal Fuel Economy Initiative
The critical distinction between the technical potential to improve fuel economy and how much of that technical potential is realized .. Summary The Global Fuel Economy Initiative was launched in early 2009. It set a target of improving the average fuel economy (in litre/100km terms) for the global vehicle light-duty vehicle fleet by at least 50% by 2050 (50by50). In terms of miles per gallon t...
متن کاملFeature Engineering in Persian Dependency Parser
Dependency parser is one of the most important fundamental tools in the natural language processing, which extracts structure of sentences and determines the relations between words based on the dependency grammar. The dependency parser is proper for free order languages, such as Persian. In this paper, data-driven dependency parser has been developed with the help of phrase-structure parser fo...
متن کاملAre Fuel Economy Standards Regressive?
Despite widespread agreement that a carbon tax would be more efficient, many countries use fuel economy standards to reduce transportation-related carbon dioxide emissions. We pair a simple model of the automakers’ profit maximization problem with unusually-rich nationally representative data on vehicle registrations to estimate the distributional impact of U.S. fuel economy standards. The key ...
متن کاملBankruptcy Prediction Using Feature Projection
Bankruptcy prediction has been an important decision-making process for nancial analysts. One of the most common approaches for the bankruptcy prediction problem is the Discrim-inant Analysis. Also, the k-Nearest Neighbor classiier is very successful in such domains. This paper proposes a Feature Projection based classiication algorithm, and explores its applicability to the problem of predicti...
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: International Journal of Advanced Research in Science, Communication and Technology
سال: 2021
ISSN: 2581-9429
DOI: 10.48175/ijarsct-792