Comparison of prediction results from multiple models. by Wenguang Li (6528113)

Capitalizing on the differences of prediction between multiple scRNA-seq clustering methods. by Yanis Asloudj (19711636)

“…Because each method relies on specific hypotheses, their predictions can vary drastically. To address that issue, ensemble algorithms detect cell populations by integrating multiple clustering methods, and minimizing the differences of their predictions. …”

Data Sheet 1_Predictive model establishment for forward-head posture disorder in primary-school-aged children based on multiple machine learning algorithms.csv by Hongjun Tao (21448853)

“…Multiple machine learning algorithms are applied to construct distinct risk prediction models, with the most effective model selected through comparative analysis. …”

Revised 1: Capitalizing on the differences of prediction between multiple scRNA-seq clustering methods. by Yanis Asloudj (19711636)

“…Because each method relies on specific hypotheses, their predictions can vary drastically. To address this issue, ensemble algorithms detect cell populations by integrating multiple clustering methods, and minimizing the differences of their predictions. …”

Computation time of the mice algorithm with the different subroutines in seconds. by Jürgen Kampf (21354027)

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Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

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Performance evaluation of different ML algorithms. by Shaik Ahamed Fayaz (19859670)

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Confusion matrix of different ML algorithms for the test set. by Shaik Ahamed Fayaz (19859670)

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ROC curve comparison for different machine learning algorithms. by Shaik Ahamed Fayaz (19859670)

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Comparison of metrics for multiple models in three weather conditions. by Yaopeng Han (22622718)

The frequency of MRGs observed in the 113 algorithm combinations(A). by Xuefen Lin (17785367)

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In Silico Sorghum GxExM Dataset For Prediction Algorithm Comparisons by Owen Powell (16328658)

“…<p><br></p><p dir="ltr"># In Silico Sorghum GxExM Dataset For Prediction Algorithm Comparisons</p><p><br></p><p dir="ltr">## Background</p><p dir="ltr">A simulated Multi-Environment Trial (MET) dataset to stimulate the development and comparisons of predictive algorithms to deconvolute genotype-by-environment-by-management interactions in plant breeding. …”

Control Parameters of IRSA Algorithm. by Wan-Hua Zhang (21601139)

“…In the study, the IRSA-BP hybrid algorithm and many other machine learning algorithms were used for diabetes prediction, and the algorithm performance was comprehensively evaluated using multiple classification metrics. …”

DataSheet1_Development of a COVID-19 early risk assessment system based on multiple machine learning algorithms and routine blood tests: a real-world study.docx by Qiangqiang Qin (12533191)

The AUC of each model was calculated using 113 ML algorithm. by Xuefen Lin (17785367)

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The CGO risk prediction process based on data augmentation and neuroevolution. by Wenbing Shi (5806160)

The construction process of the CGO prediction model. by Wenbing Shi (5806160)

Flow chart showing research framework for the fusion algorithm. by Tanmoy Bhowmik (1776838)

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Quantity ratio of the true and predicted values of various attractions in the two provinces. by Lu Xiao (314030)

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Quantity ratio of the true and predicted values for each category of tourist attractions. by Lu Xiao (314030)

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