Performance metrics for random forest binary classification models. حسب Alex P. Lind (6945287)

The confidence curve of a binary image. حسب Dingming Yang (8505990)

Random forest binary classification of the colorized Corona image for the RSK region, Morocco (1972). حسب Safia Loulad (16913691)

The confidence change of the binary image after iteration. حسب Dingming Yang (8505990)

Model 1: All Variables for binary classification. حسب Toheeb Salahudeen (21368040)

"…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. …"

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)

Illustration of the transformed binary images of normal, benign, and malignant samples into grayscale. حسب Tehnan I. A. Mohamed (16846175)

Random Forest Framework. حسب Anis Ben Ghorbal (22521828)

Random forest algorithm: Method and example results. حسب Natalie Weed (7345124)

"…Note the pronounced variation in density along the a-p axis. (<b>C</b>) Binary mask for primary somatosensory cortex barrel field (SSp-bfd). …"

Supplementary Figure 4 from A Novel Sensitivity Maximization at a Given Specificity Method for Binary Classifications حسب Seyyed Mahmood Ghasemi (20815345)

Class distribution for binary classes. حسب Toheeb Salahudeen (21368040)

"…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. …"

Data Sheet 1_Bundled assessment to replace on-road test on driving function in stroke patients: a binary classification model via random forest.docx حسب Lu Huang (211625)

"…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.…"

Identification of genetic markers for cortical areas using a Random Forest classification routine and the Allen Mouse Brain Atlas حسب Natalie Weed (7345124)

"…To screen for genes that change expression at area borders, we employed a random forest algorithm and binary region classification. …"

Binary Database of Patagonian Archaeological Technology from Hunter–gatherer mobility and technological landscapes in southernmost South America: a statistical learning approach. حسب Ivan Briz i Godino (719098)

Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data حسب Changhun Kim (682542)

"…In addition, hyperparameter tuning of the RF algorithm significantly improved F1 on CI assays. This study provided a basis for developing a toxicity classification model with improved performance by evaluating the effects of data set characteristics. …"

The illustration depicts our CQ-CNN architecture for binary image classification. حسب Mominul Islam (3513758)

ROC curve for binary classification. حسب Nicodemus Songose Awarayi (18414494)

"…To achieve this, we focused the study on addressing the challenge of image noise, which impacts the performance of deep learning models. …"

Confusion matrix for binary classification. حسب Nicodemus Songose Awarayi (18414494)

"…To achieve this, we focused the study on addressing the challenge of image noise, which impacts the performance of deep learning models. …"

ML algorithms used in this study. حسب Toheeb Salahudeen (21368040)

"…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. …"

A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

"…Future work aims to generalize this algorithm for broader biological applications by training additional Cellpose models and adapting the A* framework.…"