Classification performance of four machine learning algorithms on the test set. by Maryam Ahmadzadeh (8590380)

Key gene identification based on two machine learning algorithms. by Lijun Guo (605276)

Ranking machine learning algorithms based on AUC. by F. William Townes (3216846)

“…<p>Numeric values indicate the fraction of times the row algorithm has higher classification performance than the column algorithm. pglm: elastic net penalized logistic regression, svm: support vector machine with radial basis function, xgb: gradient boosted trees, nb: naive Bayes, knn: k-nearest neighbors.…”

Optimization algorithms performance comparison across benchmark functions. by Sundreen Asad Kamal (20390818)

The proposed feature extraction algorithm. by Ali Ahmed (2567584)

Subjects:

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.…”

The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. by Ahmed M. Elshewey (21463867)

Integration of three machine learning algorithms to characterize lipid metabolism-associated hub genes in sepsis and atrial fibrillation. by Changze Ou (22806374)

Model construction and validation (A) Construction of the model based on multiple machine learning algorithms. by Chengting Wu (21485612)

Objective function values of different algorithms on individual problem instances. by Panfei Li (22379086)

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.…”

Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>14−<i>f</i>23. by Ying Li (38224)

Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>8−<i>f</i>13. by Ying Li (38224)

Damping oscillation function (before adding random numbers). by Fujun Wang (96184)

Damping oscillation function (after adding random numbers). by Fujun Wang (96184)

Algorithm process of BPNN. by Xiaoxiang Cao (12644851)

Comparison of key evaluation indicators for recommendation algorithms. by Mingbao Yang (14008799)

Critical values of membership functions learned from the study cohort by the algorithm. by Yufeng Zhang (195768)

Baseline characteristics of recipients’ comparison before and after data match by the unsupervised machine learning algorithm. by Mahmoudreza Moein (22127153)

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)