Machine learning prediction algorithm flow chart. by Ahmad M. Al-Omari (20460931)

Reward function related parameters. by Honglei Pang (22693724)

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Results of machine learning algorithm. by Balraj Preet Kaur (20370832)

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PREDICTING THE THERAPEUTIC SUCCESS IN SMOKERS BY MACHINE LEARNING ALGORITHMS by Miyoko Massago (12412708)

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ROC comparison of machine learning algorithm. by Balraj Preet Kaur (20370832)

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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

“…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …”

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

“…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…”

Underlying predictions and human ratings necessary for reproducing the LINNDA algorithm by Paul Naser (17776497)

Performance of the machine learning algorithms. by Novel Chandra Das (19742953)

“…We developed and interpreted machine-learning (ML) models to predict hypertension and rank associated factors among married women with the goal of informing targeted screening and policy in low-resource settings.…”

Performance of the machine learning algorithms. by Novel Chandra Das (19742953)

“…We developed and interpreted machine-learning (ML) models to predict hypertension and rank associated factors among married women with the goal of informing targeted screening and policy in low-resource settings.…”

Parameters of the machine learning algorithms used in the study. by Xiaoyan Yang (259084)

Subjects:

(a) Prediction using traditional algorithm. (b) Prediction using optimization algorithm. by Dandan Wang (286632)

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Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms. by Júlia Bijos (14489543)

Performance of models in predicting AI speaker users by machine learning algorithm. by Yunwoo Choi (20448432)

“…<p>Performance of models in predicting AI speaker users by machine learning algorithm.…”

Optimal parameters of the machine learning algorithm. by Novel Chandra Das (19742953)

A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm. by Boluwatife Ikwunne (22238697)

“…Increasing values of κ flattening the relationship between prediction errors and learning rates, leading to lower learning rates for a given magnitude of the prediction error. …”

Predictions of oil volume in palm fruit and estimates of their ripeness: A comparative study of machine learning algorithms by SHERIF SHUAIB (18069292)

“…<p dir="ltr">This dataset was used to compare machine learning algorithms for predicting the oil content from different parts of both ripe and raw oil palm fruits (top, middle, and down). …”

<b>Python codes for machine learning algorithms for subclinical mastitis prediction</b> by Hamza Yalçin (21182759)

<b>Prediction of Heart Attack Using Machine Learning Classification Algorithms</b> by Khaled Mohamad Almustafa (20937680)

EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

“…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …”