Recognition results of different algorithms. by Minghao Zhou (197358)

Boost converter topology. by Itzel Contreras Carmona (20427867)

Boost converter parameters. by Itzel Contreras Carmona (20427867)

Test confusion matrix of different algorithms. by Minghao Zhou (197358)

The comparison of training and testing results of different algorithms. by Minghao Zhou (197358)

General model performance for different algorithms. by Binghan Xue (21253235)

Current comparison at 1.3 times the nominal voltage boost after parameter optimization using the different algorithms. by Yanling Lv (327106)

“…<p>Current comparison at 1.3 times the nominal voltage boost after parameter optimization using the different algorithms.…”

Difference between the original SMOTE algorithm and SMOTE-CD. by Teo Nguyen (16469398)

Different machine learning algorithms with types. by Md. Merajul Islam (12646837)

Hyperparameter tuning of machine learning algorithms. by Huizhong Lin (14044381)

values scored by the different regression algorithms. Linear Regression (LR), Random Forest (RF), Decision Tree (DT), X Gradient Boosting(XGB), Support Vector Machine (SVM), Gradient Boosting (GB) and AdaBoost (AB). by Itxasne Antúnez Sáenz (22794696)

“…<p> values scored by the different regression algorithms. Linear Regression (LR), Random Forest (RF), Decision Tree (DT), X Gradient Boosting(XGB), Support Vector Machine (SVM), Gradient Boosting (GB) and AdaBoost (AB).…”

Performance of different algorithms across various regression metrics and datasets. by Shikun Chen (14625352)

XG Boost model. by Beat Knechtle (5504402)

Subjects:

Overall accuracy comparison for different algorithms. by Parthiban Aravamudhan (15338781)

Statistics of the predictive performance indicators of four different competitor algorithms. by Jin Wang (29560)

Subjects:

The algorithm of SVR. by Ranjit Kumar Paul (13007556)

Evaluation architecture of XGBoost algorithm model (RF: Random forest algorithm; LR: Logical regression algorithm; DT: Decision tree algorithm). by Huijun Chen (148680)

Subjects:

Framework of Random Forest algorithm. by Delin Meng (11868656)

Differences in computing performance between ENQUIRE’s gene normalization algorithm and GNorm2-Bioformer. by Luca Musella (19986312)

Confusuion matrix of AdaBoost. by Nasrullah Khan (13778350)

“…The proposed process is based on the following steps: (1) training the data using RNNs, (2) extracting features from their hidden layers, and (3) applying various classification algorithms. This methodology offers significant advantages and greatly differs from existing intrusion detection practices. …”