Comparison of the EODA algorithm with existing algorithms in terms of recall. حسب Sunil Kumar (102321)

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Comparison of the EODA algorithm with existing algorithms in terms of precision. حسب Sunil Kumar (102321)

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Comparison of the EODA algorithm with existing algorithms in terms of F1-Score. حسب Sunil Kumar (102321)

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The proposed algorithm of the outlier detection method. حسب Sunil Kumar (102321)

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Model-relevant variable data for external patients. حسب Lei Gao (6566)

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The relevant code in the manuscript can be found in the supporting information data file. حسب Xini Fang (20861990)

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Results of RF algorithm screening factors. حسب Jintao Li (448681)

<b>Long-term evaluation of pollution</b><b>dynamics</b><b>in West Lake Taihu, China: Enhanced WQI and TLI models for improved accuracy and management relevance</b> حسب Bo Chao (1916083)

An example shows how XAI algorithm helps an expert to make a decision. حسب Shuvo Biswas (21728782)

Random Forest Model Results. حسب Md Shakhawath Hossain (17537148)

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Definitions of relevant SSA parameters. حسب Yeping Shi (14279118)

"…In tests comparing the performance of the SSA-BPNN, support vector machine (SVM), and random forest (RF) models, the SSA-BPNN achieves a 99.1% classification accuracy, better than the SVM and RF models. …"

The relevant data file for this article. حسب Linsha Liu (20378293)

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

Improved random forest algorithm. حسب Zhen Zhao (159931)

"…Compared with MDA-RF, the prediction accuracy of the improved RF built on the same subset increased by 1.7%, indicating that improving the bootstrap sampling of random forest by using the K-means++ clustering algorithm can enhance model accuracy to some extent. …"

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms حسب Zahra Bastami (21474755)

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms حسب Zahra Bastami (21474755)

Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks حسب Balázs Mészáros (16890225)

"…<p dir="ltr">The data in this repository accompanies the paper 'Efficient Event-based Delay Learning in Spiking Neural Networks'</p><p dir="ltr">The data relates to 4 benchmarks:</p><ol><li>Spiking Heidelberg Digits (SHD).…"

Schematic diagram of random forest algorithm. حسب Imee V. Necesito (12749885)

Pseudocode for the missForestPredict algorithm. حسب Elena Albu (15181070)

"…Missing data in input variables often occur at model development and at prediction time. The missForestPredict R package proposes an adaptation of the missForest imputation algorithm that is fast, user-friendly and tailored for prediction settings. …"

Random Forest and Gradient Boosting algorithms. حسب Yvan J. Garcia-Lopez (20783591)