Most important features as selected by the Sequential Feature Selection algorithm (where appropriate) and found optimal hyperparameters for the top 3 scoring models. حسب Andres Portocarrero-Bonifaz (21367929)

Choice behavior on individual test tasks. حسب Sam Hall-McMaster (10343795)

الموضوعات:

Confusion matrix heat map of the test set in Shanghai and Hunan Province. حسب Lu Xiao (314030)

الموضوعات:

Comparison of the performance of the predictive models using the training dataset. حسب Fatima Zahra Rhmari Tlemçani (22319928)

الموضوعات:

Ablation comparison experimental data. حسب Tengfei Ma (597633)

الموضوعات:

HIV screening algorithm. حسب Wei Li A. Koay (21094209)

3 fold cross validation model for the ANN training and testing data. حسب Junaid Khan (4276162)

Flowchart diagram illustrating the data analysis process using machine learning models. حسب Isabela Bittencourt Basso (14178739)

الموضوعات:

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. …"

Skeleton accuracy for test data subgroups and types of errors. حسب Weheliye H. Weheliye (22022140)

Confusion matrix on test image. حسب Vaibhav Gadag (20642471)

الموضوعات:

Natural driving test route. حسب Yongjian Zhang (3986126)

الموضوعات:

Research data. حسب Dominique Vincent-Genod (20552594)

"…An automatic analysis algorithm was tested on 82 recordings to suggest improvements. …"

T2-Flair model training process using all data. حسب Fengning Liang (20927493)

الموضوعات:

T2-Flair model training process using all data. حسب Fengning Liang (20927493)

الموضوعات:

Classification performance of each category of the test set in MLP during the improved processes. حسب Lu Xiao (314030)

الموضوعات:

Classification performance of the entire test set in the MLP classifier during the improved processes. حسب Lu Xiao (314030)

الموضوعات:

Wilcoxon signed-rank test results. حسب Mohd Sakib (20565228)

"…To ensure the reliability of our findings, we conducted ten simulations and applied the Wilcoxon Signed Rank Test to the results. The proposed model demonstrated exceptional precision, achieving a Root Mean Square Error (RMSE) of 130.6, a Mean Absolute Percentage Error (MAPE) of 0.38%, and a Mean Absolute Error (MAE) of 99.41 for weekday data. …"

Summary of methods used in the CMI-PB invited prediction challenge and total points earned. حسب Pramod Shinde (20968597)

Box plot of ablation experiment data. حسب Tengfei Ma (597633)

الموضوعات: