Parameter settings. حسب Olaide N. Oyelade (14047002)

الموضوعات:

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)

"…Thirty models established by combining five molecular fingerprints (i.e., Morgan, MACCS, RDKit, Pattern, and Layered) and six algorithms [i.e., gradient boosting tree, random forest (RF), multi-layered perceptron, <i>k</i>-nearest neighbor, logistic regression, and naive Bayes] were trained using the selected assay data set. …"

<i>hi</i>PRS algorithm process flow. حسب Michela C. Massi (14599915)

"…The sequences can include from a single SNP-allele pair up to a maximum number of pairs defined by the user (<i>l</i>_max). <b>(C)</b> The whole training data is then scanned, searching for these sequences and deriving a re-encoded dataset where interaction terms are binary features (i.e., 1 if sequence <i>i</i> is observed in <i>j</i>-th patient genotype, 0 otherwise). …"

The result of the accuracy of tested algorithms. حسب Nebojsa Bacanin (13932723)

الموضوعات:

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

One advantage of our algorithm is that it is not binary in nature. حسب Yong Kuk Kim (13955214)

Feature selection ratio results for tested algorithms. حسب Nebojsa Bacanin (13932723)

الموضوعات:

Best fitness value results for tested algorithms. حسب Nebojsa Bacanin (13932723)

الموضوعات:

Mean fitness value results for tested algorithms. حسب Nebojsa Bacanin (13932723)

الموضوعات:

Standard deviation of fitness value results for tested algorithms. حسب Nebojsa Bacanin (13932723)

الموضوعات:

The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. حسب Olaide N. Oyelade (14047002)

الموضوعات:

a) Accuracy and b) selected feature size of algorithms on the COVID-19 dataset. حسب Nebojsa Bacanin (13932723)

الموضوعات:

Binary encoding scheme. حسب Binh Thanh Dang (12368831)

Boxplots analysis of the tested algorithms using average error rate across 21 datasets. حسب Nebojsa Bacanin (13932723)

الموضوعات:

Control parameter settings for comparative feature selection methods. حسب Nebojsa Bacanin (13932723)

الموضوعات:

Parameter settings of the comparison algorithms. حسب Ying Li (38224)

Binary contingency table. حسب Lu Xiao (314030)

S1 Dataset - Novel chaotic oppositional fruit fly optimization algorithm for feature selection applied on COVID 19 patients’ health prediction حسب Nebojsa Bacanin (13932723)

الموضوعات:

The result of the best fitness value, mean fitness value, standard deviation of fitness value and feature selection ratio of algorithms on the COVID-19 dataset. حسب Nebojsa Bacanin (13932723)

الموضوعات:

Optimization of tracking parameters based on <i>P</i>_<i>swap</i>. حسب Benjamin Gallois (10131683)