Quantity ratio of the true and predicted values for each category of tourist attractions. حسب Lu Xiao (314030)

الموضوعات:

Customized stop words list. حسب Lu Xiao (314030)

الموضوعات:

Distribution of experimental dataset categories. حسب Lu Xiao (314030)

الموضوعات:

F1-measure of each category in the optimal combination of different text representations & classifiers. حسب Lu Xiao (314030)

الموضوعات:

Evaluation indicators -2 for classification results. حسب Lu Xiao (314030)

الموضوعات:

Data repository for paper: "Variational approach to open quantum systems with long-range competing interactions" حسب Dawid Hryniuk (11488600)

The accuracy score change matrix following model development. حسب Uğur Ejder (22683228)

الموضوعات:

Comparison of the optimal solutions between analytical model and genetic algorithm. حسب Silvia Merdikawati (20298266)

الموضوعات:

Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... حسب Ziyan Jin (21021976)

الموضوعات:

Table 1_Leveraging data augmentation for machine learning models in predicting depression and anxiety using the Revised Child Anxiety and Depression Scale clinical reports.docx حسب Saleha Noor (22697930)

"…</p>Conclusion<p>The findings suggest that the Random Forest algorithm using 46 features suits the data well and has the potential to be further developed as a decision support system for the concerned professionals and improve the usual way of screening anxiety and depression in children and adolescents.…"

Table 2_Leveraging data augmentation for machine learning models in predicting depression and anxiety using the Revised Child Anxiety and Depression Scale clinical reports.docx حسب Saleha Noor (22697930)

"…</p>Conclusion<p>The findings suggest that the Random Forest algorithm using 46 features suits the data well and has the potential to be further developed as a decision support system for the concerned professionals and improve the usual way of screening anxiety and depression in children and adolescents.…"

Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%). حسب Uğur Ejder (22683228)

الموضوعات:

The relevant code in the manuscript can be found in the supporting information data file. حسب Xini Fang (20861990)

Model-relevant variable data for external patients. حسب Lei Gao (6566)

External cohort raw data. حسب Lei Gao (6566)

"…</p><p>However, no predictive models for BSH have been developed using machine learning algorithms.</p><p>Objective</p><p>To evaluate the effectiveness of five machine learning algorithms in predicting thickening of the basal segment of the interventricular septum and to develop a simple, yet efficient, prediction model for BSH.…"

Internal cohort raw data. حسب Lei Gao (6566)

"…</p><p>However, no predictive models for BSH have been developed using machine learning algorithms.</p><p>Objective</p><p>To evaluate the effectiveness of five machine learning algorithms in predicting thickening of the basal segment of the interventricular septum and to develop a simple, yet efficient, prediction model for BSH.…"

Quantifying solution overlap using IOU (dots). حسب Tarun Khajuria (12117309)

الموضوعات:

The statistical description of the original data set of the patients (<i>n</i> = 162). حسب Uğur Ejder (22683228)

الموضوعات:

Data Sheet 2_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.zip حسب Rui Zhang (13940)

Data Sheet 1_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.docx حسب Rui Zhang (13940)