Results 81 to 90 of about 17,286,028 (305)
Research on stock trend prediction method based on optimized random forest
CAAI Transactions on Intelligence Technology, 2023 As a complex hot problem in the financial field, stock trend forecasting uses a large amount of data and many related indicators; hence it is difficult to obtain sustainable and effective results only by relying on empirical analysis.
Lili Yin +3 more
doaj +1 more source
Top 10 important features for Random Forest prediction model.
, 2023 Top 10 important features for Random Forest prediction model.
In-Seon Lee (483585) +5 more
core +1 more source
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
Machine learning model for random forest acute oral toxicity prediction [PDF]
Global Journal of Environmental Science and ManagementBACKGROUND AND OBJECTIVES: The focus of this study is on the importance of reliable and precise forecasting of acute oral toxicity to bolster chemical safety and advance sustainable development goals, particularly sustainable development goals-3 (good ...
A.M. Elsayad +8 more
doaj +1 more source
A Crown Contour Envelope Model of Chinese Fir Based on Random Forest and Mathematical Modeling
, 2020 The tree crown is an important part of a tree and is closely related to forest growth status, forest canopy density, and other forest growth indicators. Chinese fir (Cunninghamia lanceolata (Lamb.) Hook) is an important tree species in southern China.
Yingze Tian +5 more
core +1 more source
Preliminary process of constructing the random forest model.
, 2023 Preliminary process of constructing the random forest model.
Wanli Yang (300070) +2 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng +4 more
wiley +1 more source
Jurnal Teknologi Informasi dan Ilmu KomputerRisiko kredit adalah hal yang penting untuk dianalisis di awal pengajuan kredit guna mengurangi nilai Non-Performing Loan (NPL) atau risiko gagal bayar.
Nadea Putri Nur Fauzi +2 more
doaj +3 more sources
Meta random forest : random forest with simple random forest as base model
, 2020 The abundance of data along with the significant rise of computational power boost the popularity and usage of machine learning in recent decision making and forecasting.
Kurniawan, Billy
core
Construction of random forest model.
, 2021 (A) The scatter plot of the false-positive rate. The vertical axis represents the false positive rate, and the horizontal axis represents mtry index (from 1 to 11). (B) Relationship between the related errors and the number of decision trees.
Chunhua Xiang (11442440) +4 more
core +1 more source