Machine learning algorithm parameters. by Namal Rathnayake (15361124)

“…Results of the study showcased that both systems can simulate river flows as a function of catchment rainfalls; however, the Cat gradient Boosting algorithm (CatBoost) has a computational edge over the Adaptive Network Based Fuzzy Inference System (ANFIS). …”

Construction of the PRG score index using integrated machine learning algorithms. by Xiangxin Wu (22320058)

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Algorithm process of BPNN. by Xiaoxiang Cao (12644851)

Table_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.DOCX by Shakiru A. Alaka (9302864)

“…We evaluate the predictive accuracy of machine-learning algorithms for predicting functional outcomes in acute ischemic stroke patients after endovascular treatment.…”

Data_Sheet_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.PDF by Shakiru A. Alaka (9302864)

“…We evaluate the predictive accuracy of machine-learning algorithms for predicting functional outcomes in acute ischemic stroke patients after endovascular treatment.…”

Feature selection algorithm. by Mahmoud Zeydabadinezhad (12289570)

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Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional by Ryan Stocks (16867476)

“…Improving algorithmic efficiency through hardware-aware implementations enables application to larger systems and more efficient generation of larger training data sets for machine-learning. …”

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms by Saadiallakh Normatov (20682324)

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms by Saadiallakh Normatov (20682324)

Summary of results of naïve Bayes algorithms. by Christopher E. Niemczak (8586861)

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Statistical results of various algorithms. by ZeSheng Lin (20501356)

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Images of partial benchmark functions. by ZeSheng Lin (20501356)

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Fitness function curve at weight factor 0.3. by Dhulfiqar Hakeem Dhayef (17729684)

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Dataset for 'An Automated Workflow of Deep Learning Ensemble Model with Principal Component Analysis for Enhanced Material Characterisation in Energy Dispersive Spectroscopy' by Fanzhi Su (21005174)

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Pair Potentials as Machine Learning Features by Jun Pei (1765720)

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Pair Potentials as Machine Learning Features by Jun Pei (1765720)

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Pair Potentials as Machine Learning Features by Jun Pei (1765720)

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The Precision-Recall curve of both the models. by Aastha Vatsyayan (9981916)

“…</p><p>Results</p><p>Using an independent validation dataset of ACMG & AMP classified variants, as well as a patient set of functionally validated variants, we showed how both algorithms perform and can be used to classify large numbers of variants in clinical as well as research settings.…”

Fitness function parameters. by Ankita Sharma (3183054)

Trainable parameters for different algorithms. by Anwar Hossain Efat (19942283)