Hybrid model in machine learning–robust regression applied for sustainability agriculture and food security
نویسندگان
چکیده
<span lang="EN-US">A dataset containing 1924 observations used in this study to evaluate the effect of 435 different independent variables on one dependent variable. Big data has some issues such as irrelevant and outliers. Therefore, focused analysing comparing impact three variable selection based machine learning techniques, including random forest (RF), support vector machines (SVM), Boosting. Further, M robust regression was applied address outliers using M–bi square, M–Hampel, M–Huber. Random M-Hampel results revealed significant from other methods mean absolute error (MAE) 175.33995, square (MSE) 31.8608, average percentage (MAPE) 9.16091, sum (SSE) 89270.45, R–square 0.829511, adjusted 0.82670. Also, these techniques indicated that 8 criteria were lower than Akaike information criterion (AIC) 47.25915, generalized cross validation (GCV) 47.27169, hannan-quinn (HQ) 47.60351, RICE (47.2845), SCHWARZ 51.7099, sigma (SGMASQ) 46.50605, SHIBATA 47.23489, final prediction (FPE) 47.25929. recommended best models are helpful show minimum efficient for big data.</span>
منابع مشابه
Change of Date for “International Congress on Food Science & Technology & Agriculture & Food Security” in Karaj, Iran
This article has no abstract. DOI: 10.18502/jfqhc.7.4.4842
متن کاملFood security: translational agriculture.
397 COVER Children learning science, like these 7-year-olds tackling nuclear physics in 1948, must work through their mistakes and misconceptions. The route to science literacy involves reading, debate, presentation, and writing. See the special section beginning on page 447.
متن کاملAnnouncement of “International Congress on Food Science & Technology & Agriculture & Food Security” in Karaj, Iran
This article has no abstract. DOI: 10.18502/jfqhc.7.1.2444
متن کاملAnnouncement of “5th International Congress on Food Science & Technology & Agriculture & Food Security” in Iran
This article has no abstract. DOI: 10.18502/jfqhc.9.1.9684
متن کاملdevelopment and implementation of an optimized control strategy for induction machine in an electric vehicle
in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...
15 صفحه اولذخیره 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 Electrical and Computer Engineering
سال: 2022
ISSN: ['2088-8708']
DOI: https://doi.org/10.11591/ijece.v12i4.pp4457-4468