Performance of different machine learning algorithms. by Apichat Suratanee (634281)

Processed results from ECG data with the P-T algorithm. by Daehyun Kwon (11985629)

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

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

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

The accuracy of all employed learning algorithms. by Quan Shao (20148209)

The Search process of the genetic algorithm. by Wenguang Li (6528113)

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

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The main components and data flow of the proposed algorithm. by Raed Alharthi (18340157)

Data Sheet 1_IGSA-SAC: a novel approach for intrusion detection using improved gravitational search algorithm and soft actor-critic.docx by Lizhong Jin (20991293)

Flowchart diagram illustrating the data analysis process using machine learning models. by Isabela Bittencourt Basso (14178739)

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Effects of processing rate and algorithms performance on estimates of biodiversity. by Valentine Fleuré (12822137)

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The pseudocode of the RFE algorithm. by Zuzhen Ji (17593348)

Confusion Matrix for Subspace algorithm (3000 Learning Cycles) providing insight into the performance evaluation of Subspace algorithm. by Sadia Nazim (21440115)

Decision tree construction process in Microsoft decision tree algorithm. by Liangzheng Wu (20501304)

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COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets by Haojie Wang (3072141)

“…We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. COMET leverages carefully curated data sets encompassing 2685 human targets of therapeutic relevance and 990,944 ligand-target interaction pairs. …”

COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets by Haojie Wang (3072141)

“…We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. COMET leverages carefully curated data sets encompassing 2685 human targets of therapeutic relevance and 990,944 ligand-target interaction pairs. …”

COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets by Haojie Wang (3072141)

“…We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. COMET leverages carefully curated data sets encompassing 2685 human targets of therapeutic relevance and 990,944 ligand-target interaction pairs. …”

The steps of applying RF algorithm. by Zuzhen Ji (17593348)

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

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