Results 71 to 80 of about 6,745,293 (217)
Random Forest Prediction of IPO Underpricing
Applied Sciences, 2017 The prediction of initial returns on initial public offerings (IPOs) is a complex matter. The independent variables identified in the literature mix strong and weak predictors, their explanatory power is limited, and samples include a sizable number of ...
David Quintana, Yago Sáez, Pedro Isasi
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Italian National Conference on Sensors, 2017 In previous classification studies, three non-parametric classifiers, Random Forest (RF), k-Nearest Neighbor (kNN), and Support Vector Machine (SVM), were reported as the foremost classifiers at producing high accuracies. However, only a few studies have
Phan Thanh Noi, M. Kappas
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High-Resolution Road Vehicle Collision Prediction for the City of Montreal
, 2019 Road accidents are an important issue of our modern societies, responsible for millions of deaths and injuries every year in the world. In Quebec only, in 2018, road accidents are responsible for 359 deaths and 33 thousands of injuries. In this paper, we
Glatard, Tristan +3 more
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Prediksi Harga Bitcoin Menggunakan Metode Random Forest
Jurnal Komputer Terapan, 2021 Pada masa pandemic ini, transaksi keuangan virtual mengalami peningkatan tajam. Dikarenakan penyimpanan asset maupun bentuk jual-beli bertransformasi menggunakan layanan digital.
Siti Saadah, Haifa Salsabila
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Knowledge-Based SystemsThe Random Forest (RF) classifier is often claimed to be relatively well calibrated when compared with other machine learning methods. Moreover, the existing literature suggests that traditional calibration methods, such as isotonic regression, do not substantially enhance the calibration of RF probability estimates unless supplied with extensive ...
Shaker, Mohammad Hossein +1 more
openaire +3 more sources
Enriched Random Forest for High Dimensional Genomic Data
IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2021 Ensemble methods such as random forest works well on high-dimensional datasets. However, when the number of features is extremely large compared to the number of samples and the percentage of truly informative feature is very small, performance of ...
Debopriya Ghosh, Javier Cabrera
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Soil and Water ResearchSoil organic carbon (SOC) is an important soil characteristic as well as a way how to mitigate climate change. Information on its content and spatial distribution is thus crucial.
Shahin Nozari +4 more
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JURNAL MEDIA INFORMATIKA BUDIDARMA, 2021 In this study aims to compare the performance of several classification algorithms namely C4.5, Random Forest, SVM, and naive bayes. Research data in the form of JISC participant data amounting to 200 data. Training data amounted to 140 (70%) and testing
M. Azhari +2 more
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Prediction of Employee Attendance Factors Using C4.5 Algorithm, Random Tree, Random Forest
Semesta Teknika, 2020 Research on the performance of workers based on the determination of standard working hours for absences conducted by workers in a certain period.
Riza Fahlapi +5 more
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Random forest algorithm use for crop recommendation
ITEGAM-JETIA, 2023 The proposed method seeks to assist Indian pleasant in selecting the optimum crop to produce based on the characteristics of the soil as well as external factors like temperature and rainfall by using an intelligent system called Crop Recommender.
Pradip Mukundrao Paithane
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