Feature importance analysis.

Feature importance analysis.

<p>Feature importance analysis using SHAP for three models: (a, d) logistic regression, (b, e) random forest, and (c, f) deep neural network.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Wei Yin (64393) (author)
مؤلفون آخرون:	Sanad H. Ragab (22615302) (author), Michael G. Tyshenko (11719009) (author), Teresa Feria Arroyo (22615305) (author), Tamer Oraby (3073227) (author)
منشور في:	2025
الموضوعات:	Ecology Sociology Virology Astronomical and Space Sciences not elsewhere classified Biological Sciences not elsewhere classified west nile virus random forest classifier potential geographic distribution perform various tasks great prediction tools div >< p several machine learning comparing machine learning called reinforcement learning dqn ), reinforce deep neural networks culex pipiens </ common house mosquito reinforcement learning performance predicting species distribution pipiens </ deep learning wnv ), rl ), deep q training agents subtropical regions study objective results revealed primary vector predictive modeling logistic regression limited resources including q classification problems changing environments borne pathogen another set annual precipitation affects humans
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة

Comparison of performance of machine learning, deep learning, and reinforcement learning models.
حسب: Wei Yin (64393)
منشور في: (2025)

Performance comparison of logistic regression, random forest, and deep neural network models.
حسب: Wei Yin (64393)
منشور في: (2025)

Significance of features.
حسب: Wei Yin (64393)
منشور في: (2025)

Estimated Variance Inflation Factor (VIF) values for 20 climatic features.
حسب: Wei Yin (64393)
منشور في: (2025)

Presence and absence of <i>C. pipiens</i> predicted by different models: (a) Random Forest, (b) Deep Neural Network, (c) Q-Learning, (d) Deep Q-Network, (e) REINFORCE, and (f) Actor-Critic.
حسب: Wei Yin (64393)
منشور في: (2025)

(a) Explained variance as a function of the number of components retained in the logistic regression model.
حسب: Wei Yin (64393)
منشور في: (2025)

Scatter plot matrix.
حسب: Wei Yin (64393)
منشور في: (2025)

Correlation matrix.
حسب: Wei Yin (64393)
منشور في: (2025)

The influence of the smoothing parameter on prediction accuracy.
حسب: Sabine Haberland (22783613)
منشور في: (2025)

Prediction accuracies of the models.
حسب: Sabine Haberland (22783613)
منشور في: (2025)

DQN-based linear model.
حسب: Sabine Haberland (22783613)
منشور في: (2025)

Visualization of the gaming behavior of humans and Ape-X.
حسب: Sabine Haberland (22783613)
منشور في: (2025)

Results of the one-sample t-test.
حسب: Sabine Haberland (22783613)
منشور في: (2025)

Learning curves of the DQNs.
حسب: Sabine Haberland (22783613)
منشور في: (2025)

The influence of the training time on prediction accuracy.
حسب: Sabine Haberland (22783613)
منشور في: (2025)

DataSheet1_Effect of Climate Change on West Nile Virus Transmission in Italy: A Systematic Review.docx
حسب: Antonio Lorenzon (18154552)
منشور في: (2025)

Fig 1 -
حسب: Marta Garrigós (17869461)
منشور في: (2024)

Rarefaction curves of the microbiota analyses of each <i>Cx</i>. <i>perexiguus</i> mosquito pool included in the study.
حسب: Marta Garrigós (17869461)
منشور في: (2024)

Mosquito pool characteristics.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

Comparison of the reported number of human West Nile neuroinvasive disease cases in Emilia-Romagna and the model-estimated risk of WNV-positive mosquitoes.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

Assessment of model fit of the final multivariable model.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

Non-linear relationships between meteorological variables and presence and prevalence of WNV-positive mosquitoes in the final multivariable models.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

Univariable model beta coefficients for variables included as linear fixed effects.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

West Nile Virus positive mosquito pools across the Emilia-Romagna region between 2013 and 2022.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

Regression coefficients for each percentile of the meteorological variables included as random effect categorical variables in univariable spatiotemporal models, associated with the presence of WNV-positive mosquitoes.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

Regression coefficients for each percentile of the meteorological variables included as random effect categorical variables in univariable spatiotemporal models, associated with prevalence of WNV-positive mosquitoes.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

Triangulated mesh.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

Summary statistics of the calculated prevalence of WNV-positive mosquitoes.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

Mean and 95% quantile of the pool size per week number averaged over the traps and years.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

Posterior marginal distribution of the parameters in the baseline spatiotemporal model.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

Upper credible interval values of the spatiotemporal random fields on presence of WNV-positive mosquitoes, (A) and transformed prevalence of WNV-positive mosquitoes, (B) for each year 2013–2022 read top left to bottom right, in the baseline model.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

Lower credible interval values of the spatiotemporal random fields on presence of WNV-positive mosquitoes, (A) and transformed prevalence of WNV-positive mosquitoes, (B) for each year 2013–2022 read top left to bottom right, in the baseline model.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

Mean values of the spatiotemporal random fields on presence of WNV-positive mosquitoes, (A) and transformed prevalence of WNV-positive mosquitoes, (B) for each year 2013–2022 read top left to bottom right, in the baseline model.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

Non-linear relationships between meteorological variables and (A) presence of WNV-positive mosquitoes and (B) prevalence of WNV-positive mosquitoes in the univariable models.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

Mosquito West Nile virus prevalence (infection rate) estimates.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

Land use composition.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

Elevation above sea level and the proportion of each CLC level I land cover category in a 3km buffer around each trap.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

Number of weeks of West Nile virus (WNV) presence in the avian population.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

West Nile virus presence in tested birds in Emilia-Romagna each year.
حسب: Victoria M. Cox (21512666)
منشور في: (2025)

analysis_phd.xlsxMRP_PHD_DATA
حسب: MIHIR PANCHAL (20639651)
منشور في: (2025)

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