Algorithm testing. حسب Ziad M. Ali (12516532)

الموضوعات:

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

Convergence curves of the investigated algorithms. حسب Ziad M. Ali (12516532)

الموضوعات:

Performance evaluation of different ML algorithms. حسب Shaik Ahamed Fayaz (19859670)

Cost and cases diagnosed for each algorithm in different modelled scenarios. حسب Tushar Garg (9283574)

Classification accuracy of different optimization algorithms and prediction models. حسب Xueying Kou (3940031)

"…<p>Classification accuracy of different optimization algorithms and prediction models.…"

Overview of different metaheuristic algorithms used in PV parameter estimation and their corresponding full names and acronyms. حسب Ziad M. Ali (12516532)

الموضوعات:

Confusion matrix of different ML algorithms for the test set. حسب Shaik Ahamed Fayaz (19859670)

ROC curve comparison for different machine learning algorithms. حسب Shaik Ahamed Fayaz (19859670)

Comparison of TL and VL of different algorithms. حسب Guozhu Sui (21672798)

TFP results of different algorithms at different sampling intervals. حسب Guozhu Sui (21672798)

Algorithm performance under different problem sizes. حسب Tingting Zhang (264633)

Bagging Model Algorithm Flow. حسب Wen Yu (384130)

Model comparison between our model-free algorithm (here MF*) and SARSA. حسب Carlos A. Velázquez-Vargas (19751567)

"…In particular, the AIC difference was significantly in favor of our model for the Single group (V = 34, p = 0.04), although there was no difference between the models in the Multiple group (V = 77, p = 0.33). …"

Comparison of training precision and validation precision of different algorithms. حسب Guozhu Sui (21672798)

Construction of nomogram model through SVM algorithm. حسب Jiangli Zhao (2308330)

الموضوعات:

Summary of the feature selection algorithms. حسب Martin Kostadinov (20410120)

Summary of the metrics of the different trained models foreach algorithm in each split for each dataset. حسب Jaime B. Matas-Bustos (21772430)

"…<p>Summary of the metrics of the different trained models foreach algorithm in each split for each dataset.…"

Crop yield prediction accuracy using different ML algorithms. حسب Gourab Saha (8987405)

XGBoost odor prediction model: finding the structure-odor relationship of odorant molecules using the extreme gradient boosting algorithm حسب Pankaj Tyagi (20147683)

"…To obtain relevant physicochemical features, a feature reduction algorithm called PCA was also employed. The ML model developed in this study was able to predict all seven basic smells with high precision (>99%) and high sensitivity (>99%) when tested on an independent test dataset. …"