بدائل البحث:
forest classification » text classification (توسيع البحث), risk classification (توسيع البحث), disease classification (توسيع البحث)
codon optimization » wolf optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data forest » data first (توسيع البحث), data formats (توسيع البحث)
data codon » data code (توسيع البحث), data codes (توسيع البحث), data codings (توسيع البحث)
forest classification » text classification (توسيع البحث), risk classification (توسيع البحث), disease classification (توسيع البحث)
codon optimization » wolf optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data forest » data first (توسيع البحث), data formats (توسيع البحث)
data codon » data code (توسيع البحث), data codes (توسيع البحث), data codings (توسيع البحث)
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Model 1: All Variables for binary classification.
منشور في 2025"…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …"
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Integrative Clinical and Bio-mechanical Features Predict In-Hospital Trauma Mortality
منشور في 2024الموضوعات: -
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Class distribution for binary classes.
منشور في 2025"…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …"
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Random forest algorithm: Method and example results.
منشور في 2019"…(<b>D</b>) Schematic illustration of arrays input into Random Forest algorithm. Columns correspond to gene, rows to pixels in the top projection data set. …"
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ML algorithms used in this study.
منشور في 2025"…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …"
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Data Sheet 1_Bundled assessment to replace on-road test on driving function in stroke patients: a binary classification model via random forest.docx
منشور في 2025"…The subject was classified as either Success or Unsuccess group according to whether they had completed the on-road test. A random forest algorithm was then applied to construct a binary classification model based on the data obtained from the two groups.…"
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Supplementary file 1_Comparative evaluation of fast-learning classification algorithms for urban forest tree species identification using EO-1 hyperion hyperspectral imagery.docx
منشور في 2025"…</p>Methods<p>Thirteen supervised classification algorithms were comparatively evaluated, encompassing traditional spectral/statistical classifiers—Maximum Likelihood, Mahalanobis Distance, Minimum Distance, Parallelepiped, Spectral Angle Mapper (SAM), Spectral Information Divergence (SID), and Binary Encoding—and machine learning algorithms including Decision Tree (DT), K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Random Forest (RF), and Artificial Neural Network (ANN). …"
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Telehealth.
منشور في 2025"…The paper utilized the binary Logistic Regression and the random forest algorithm to predict the participants’ attitudes towards the ease of using Telehealth services. …"
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Kernel Density Plot of Effort Expectancy Scores.
منشور في 2025"…The paper utilized the binary Logistic Regression and the random forest algorithm to predict the participants’ attitudes towards the ease of using Telehealth services. …"
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Class distribution for 5-class classification.
منشور في 2025"…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …"
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Class distribution for 3-class classification.
منشور في 2025"…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …"
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Table 1_A comparative analysis of binary and multi-class classification machine learning algorithms to detect current frailty status using the English longitudinal study of ageing...
منشور في 2025"…</p>Conclusion<p>Machine learning algorithms show promise for the detection of current frailty status, particularly in binary classification. …"