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

Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment حسب Jianfang Cao (1881379)

"…<div><p>An image classification algorithm based on adaptive feature weight updating is proposed to address the low classification accuracy of the current single-feature classification algorithms and simple multifeature fusion algorithms. …"

Classification accuracy values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

The classification algorithm flow chart for binary classification among NC, EMCI, LMCI and AD groups. حسب Qian Zhang (49333)

Accuracy of different algorithms in binary classification on Alibaba Cloud data set. حسب Zhanhui Hu (18405183)

Number of features selected for IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Feature selection convergence time comparison of various binary metaheuristic algorithms. حسب Amal H. Alharbi (21755906)

Sensitivity values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Specificity values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Fitness values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Additional file 1 of Cost-Constrained feature selection in binary classification: adaptations for greedy forward selection and genetic algorithms حسب Rudolf Jagdhuber (8371059)

F-score values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Feature Selection for Microarray Data Classification Using Hybrid Information Gain and a Modified Binary Krill Herd Algorithm حسب Ge Zhang (112487)

"…A pre-screening method of feature ranking which is based on information gain (IG) and an improved binary krill herd (MBKH) algorithm are integrated in this strategy. …"

Binary classification accuracy and DR comparison on NSL-KDD. حسب Arshad Hashmi (13835488)

Binary confusion matrix. حسب Chen Zhu (445894)

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)

Integrative Clinical and Bio-mechanical Features Predict In-Hospital Trauma Mortality حسب Abhishek Sawalkar (18128056)

الموضوعات:

Performance of the proposed method for binary classification of lung cancer. حسب Md. Sabbir Hossain (9958939)

الموضوعات:

The maximum accuracy (lowest error rate) with the least number of ANOVA-ranked genes achieved by different feature filtering methods and classification algorithms refined by SIRRFE under various classification tasks, including: the multiclass classification for distinguishing each individual PAH patient group (Control <i>vs</i>.... حسب Song Cui (553627)

"…<p>The maximum accuracy (lowest error rate) with the least number of ANOVA-ranked genes achieved by different feature filtering methods and classification algorithms refined by SIRRFE under various classification tasks, including: the multiclass classification for distinguishing each individual PAH patient group (Control <i>vs</i>. …"

The algorithms ranking. حسب Moein E. Samadi (13804201)