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RStudio catboost machine learning package
Catboost Machine Learning Package, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/machine+learning+packages/machine+learning+algorithms/pm39848521-80-7-13
Average 90 stars, based on 1 article reviews
catboost machine learning package - by Bioz Stars, 2026-09
90/100 stars

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Article Title: Traffic conflict assessment using macroscopic traffic flow variables: A novel framework for real-time applications.
Article Snippet: The present study develops a comprehensive traffic conflict assessment framework using macroscopic traffic state variables.. To this end, vehicular trajectories extracted for a midblock section of a ten-lane divided Western Urban Expressway in India are used.. A macroscopic indicator termed “time spent in conflict (TSC)” is adopted to evaluate traffic conflicts.

Article Title: Engineered alginate-polyethyleneimine and sludge-aluminosilicate biochar composites for greywater treatment: Performance evaluation and models for designing pilot-scale systems.
Article Snippet: 10 Greywater, originating from kitchen sinks and toilets, constitutes 75-80 % of the domestic 11 wastewater produced in homes and can be reclaimed for non-potable uses.. This study 12 synthesized novel sludge-derived aluminosilicates and alginate-polyethyleneimine (PEI) biochar 13 composites.. The aluminosilicates offer a sustainable approach to sludge management, while 14 alginate-polyethyleneimine presents a green biochar modification approach.

Article Title: Prognostic Factors for Orthognathic Surgery in Children With Cleft Lip and/or Palate: Dentition and Palatal Morphology.
Article Snippet: Objective: To determine dental and palatal morphology in children with cleft lip and/or palate (CL/P) and identify morphological prognostic factors for orthognathic surgery (OGS).. Design: Retrospective cohort study.. Setting: Orthodontic department of a university dental hospital.

Article Title: Predicting the Actual Usage of Online Health Care Service among Rural Citizens through E-Governance Initiatives during COVID-19 Using Machine Learning
Article Snippet: The machine learning technique in r-studio was used by the authors to analyze the exact determinant that is highly significant with the actual usage of online health care applications.

Article Title: Prediction of the synergistic effect of antimicrobial peptides and antimicrobial agents via supervised machine learning.
Article Snippet: Al-Mistarehi BW, Alomari AH, Imam R, Mashaqba M. Using Machine Learning Models to Forecast Severity Level of Traffic Crashes by R Studio and ArcGIS.



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