Logistic Classification Model of the Effort Expectancy. حسب Anis Ben Ghorbal (22521828)

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Kernel Density Plot of Effort Expectancy Scores. حسب Anis Ben Ghorbal (22521828)

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Characteristics of Participant by the ease of using the telehealth system “Effort Expectancy”. حسب Anis Ben Ghorbal (22521828)

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Frequency and Density plot of features Across Classes of Ease of using the telehealth system “Effort Expectancy”. حسب Anis Ben Ghorbal (22521828)

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Simulation results for the expected values. حسب Jürgen Kampf (21354027)

"…Among the remaining algorithms, in most situations we tested, predictive mean matching performed best.…"

ROC Curve and Classification Thresholds [33–36]. حسب Anis Ben Ghorbal (22521828)

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Classification of smart city application projects. حسب Gongyi Jiang (20896467)

Result of the classification. حسب Subin Ham (19704398)

"…The classification approach proposed in this study is expected to encourage the rapid and accurate classification of various lot shapes.…"

Telehealth. حسب Anis Ben Ghorbal (22521828)

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Characteristics of Highly Agreed Participants among Disability Subgroups, Odds Ratio (OR), and 95% Confidence Interval (CI). حسب Anis Ben Ghorbal (22521828)

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Information Value Scores (Binary Logistic Regression) and Feature Importance Scores (Random Forest) Across Features (for IVs from LR, a bar with dashed border indicates a significa... حسب Anis Ben Ghorbal (22521828)

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Random Forest Framework. حسب Anis Ben Ghorbal (22521828)

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Accuracy Results from Random Forest and Binary Logistic Regression Models by Data Types. حسب Anis Ben Ghorbal (22521828)

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Algorithm stages for the clustering phase. حسب Julien Roche (611898)

"…The method relies on starting the clustering algorithm with an initial higher number of groups than expected from the ploidy level of the samples, followed by merging groups that are too close to each other to be considered as distinct genotypes. …"

Confusion matrix when inferring the mode of selection. حسب Adam G. Fine (21763286)

Dataset configuration. حسب Subin Ham (19704398)

"…The classification approach proposed in this study is expected to encourage the rapid and accurate classification of various lot shapes.…"

Projected LULC of BMNP (2033 and 2053). حسب Firdissa Sadeta Tiye (21222102)

"…The Random Forest (RF) classification algorithm was used for image classification, while the Cellular Automata Artificial Neural Networks (CA-ANN) model within the Modules for Land Use Change Simulations (MOLUSCE) plugin of QGIS was employed for future LULC projection. …"

Definition of LULC classes. حسب Firdissa Sadeta Tiye (21222102)

"…The Random Forest (RF) classification algorithm was used for image classification, while the Cellular Automata Artificial Neural Networks (CA-ANN) model within the Modules for Land Use Change Simulations (MOLUSCE) plugin of QGIS was employed for future LULC projection. …"

Data types and their sources. حسب Firdissa Sadeta Tiye (21222102)

"…The Random Forest (RF) classification algorithm was used for image classification, while the Cellular Automata Artificial Neural Networks (CA-ANN) model within the Modules for Land Use Change Simulations (MOLUSCE) plugin of QGIS was employed for future LULC projection. …"

Location map of the study area. حسب Firdissa Sadeta Tiye (21222102)

"…The Random Forest (RF) classification algorithm was used for image classification, while the Cellular Automata Artificial Neural Networks (CA-ANN) model within the Modules for Land Use Change Simulations (MOLUSCE) plugin of QGIS was employed for future LULC projection. …"