Comparison of different optimization algorithms. by Hang Zhao (143592)

Subjects: “…crayfish optimization algorithm…”

Comparison of TPR, FPR, and AUC for Different Methods (Five-Fold Cross-Validation). by Hao Cao (2248066)

Subjects:

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Comparison of Ten-fold Cross validation metrics for various machine learning models. by Jingru Dong (14076094)

Subjects:

Ig-like and Jelly-roll folds. by Caesar Tawfeeq (21087272)

Subjects:

Model-Based Clustering of Categorical Data Based on the Hamming Distance by Raffaele Argiento (647076)

“…<p>A model-based approach is developed for clustering categorical data with no natural ordering. …”

Performance of MDEM algorithms as percentage of the best algorithms in k-fold for PID dataset. by Ahmed Mehedi Nizam (8661468)

A data processing scheme for spatially explicit soil spectral calibration. by José L. Safanelli (20552654)

Subjects:

The general processing diagram used to create OSSL. by José L. Safanelli (20552654)

Subjects:

Table 2 - IgStrand: A universal residue numbering scheme for the immunoglobulin-fold (Ig-fold) to study Ig-proteomes and Ig-interactomes by Caesar Tawfeeq (21087272)

Subjects:

Performance of MDEM algorithms as percentage of the best algorithms in stratified k-fold for PID dataset. by Ahmed Mehedi Nizam (8661468)

Classification performance results using 5-fold cross-validation for the training datasets after applying the data imbalance tool, SMOTE and NQE for data embedding. The values with... by Aninda Astuti (21736334)

Classification performance results using 5-fold cross-validation for the training datasets after applying the data imbalance tool, SMOTE and NQE for data embedding. The values with... by Aninda Astuti (21736334)

Performance of MDEM algorithms as percentage of the best algorithms in k-fold for Wisconsin breast cancer dataset. by Ahmed Mehedi Nizam (8661468)

Algorithm process. by Wei Cui (92129)

The data processing and analysis pipeline. by Xin Zhang (35492)

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

“…Validation used a hold-out test set (80/20) and repeated stratified k-fold cross-validation; bootstrap confidence intervals were estimated for the selected model. …”

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

“…Validation used a hold-out test set (80/20) and repeated stratified k-fold cross-validation; bootstrap confidence intervals were estimated for the selected model. …”

Performance of MDEM algorithms as percentage of the best algorithms in stratified k-fold for Wisconsin breast cancer dataset. by Ahmed Mehedi Nizam (8661468)

Fractional Cross-Validation for Optimizing Hyperparameters of Supervised Learning Algorithms by Suraj Yerramilli (21510476)

“…In this work, we propose a highly-efficient Bayesian optimization algorithm for optimizing the hyperparameters of supervised learning algorithms with K-fold CV error as the evaluation criterion. …”