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

Great machine learning performance with multiple classification algorithms. by Sydney C. Weiser (15383531)

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

“…(<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. …”

Clustering evaluation results of the FCM algorithm. by Xini Fang (20861990)

Subjects:

The construction process of the FCM clustering algorithm. by Xini Fang (20861990)

Subjects:

The parameter settings of the RF algorithm after parameter optimization. by Xini Fang (20861990)

Subjects:

Data_Sheet_1_Using random forest algorithm for glomerular and tubular injury diagnosis.docx by Wenzhu Song (12532351)

Proposed Algorithm. by Hend Bayoumi (22693738)

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

San Diego PIRC (Primary Infection Resource Consortium) data: 1998-2019. by Sepideh Mazrouee (5191339)

Comparisons between ADAM and NADAM optimizers. by Hend Bayoumi (22693738)

Single cell RNA-sequencing expression plot. by Natalie Weed (7345124)

DataSheet_1_cTULIP: application of a human-based RNA-seq primary tumor classification tool for cross-species primary tumor classification in canine.pdf by Jiaxin Long (16620456)

“…We use a recently developed RNA-seq-based convolutional neural network, TULIP, to test the robustness of a human-data-trained primary tumor classification tool on cross-species primary tumor prediction. …”

Comparison between Bisection and Newton-Raphson in terms of (A) total time consumed, and (B) maximum computation rate. by Hend Bayoumi (22693738)

Accession list and passport data. by Diego Felipe Conejo-Rodríguez (18495740)

“…Descriptors discriminating most accessions were identified using a random forest algorithm. The most-valuable classification descriptors for peanuts were 100-seed weight and days to flowering, and for beans, days to flowering and primary seed color. …”

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

The robustness test results of the model. by Xini Fang (20861990)

Subjects:

The relevant code in the manuscript can be found in the supporting information data file. by Xini Fang (20861990)

Subjects:

Model performance comparison under different parameter settings. by Xini Fang (20861990)

Subjects:

CRITIC weight calculation results for corporate operational risk warning indicators. by Xini Fang (20861990)

Subjects: