Pairwise comparisons and significance tests between algorithms for each regression metric. by Shikun Chen (14625352)

Subjects:

A general framework of the proposed dPVO-based embedding. by Md. Abdul Wahed (6429290)

Response of small airway tissues infected with EV-D94 and decreasing doses of EV-D68. by Ines Cordeiro Filipe (5849144)

Metabolic profile of small molecules from aqueous phase extraction of AD mouse fecal samples, at six months. by Francesco Favero (236209)

Summary of significant variant associations and prediction accuracies from 93 species-antibiotics combinations. by Jiwoong Kim (279952)

Importance of the features that remained significant over short/mid/long-term prediction windows. by Maria Mahbub (11914235)

SUI-sEVs decreased the proliferation of fibroblasts. by Xiaoyan Sun (28501)

Features with significant variance discrepancies affecting classification accuracy. by Yifan He (3986123)

Random Forest based prediction process. by Mohammed Majeed Hameed (14053535)

“…To address this, the study focuses on the Lotschental catchment in Switzerland, conducting a comprehensive comparison between deep learning and ensemble-based models. Given the significant autocorrelation in runoff time series data, which may hinder the evaluation of prediction models, a novel statistical method is employed to assess the effectiveness of forecasting models in detecting turning points in the runoff data. …”

Prediction models based on neural networks. by Jorge L. B. Araújo (20324246)

Subjects:

Detecting potential SmsR1 target mRNAs based on transcriptome results. by Jing Li (10611)

List of IPA-predicted significantly activated or inhibited Sertoli cell "Diseases and Functions" affected by ZIKV infection. by Mahamud-ur Rashid (3275076)

Display of significance test results. by Qingchun Jiao (18388097)

“…In this study, the trend prediction model for the experimental process of fabric tear performance testing (BLTT-FT) based on the “bidirectional long- and short-term attention mechanism” is adopted. …”

Comparison of proposed BSFR model based IHCM’ PCEs with that predicted based on IHCM. by Sugiarto Sugiarto (11378333)

Subjects:

Correlation heatmap with significance. by Bo Dong (218172)

“…</p><p>Results</p><p>The health status of China’s migrant population is generally positive, though it is influenced by multiple factors, with varying degrees of significance. Among six distinct machine learning models, the Random Forest model demonstrated the best predictive performance. …”

Murine gastric pH decreases in additional models of intestinal damage. by Sarah E. Woodward (19429623)

Ribosomal protein subunit large (Rpl) and small (Rps) transcripts are expressed at decreased levels at the site of <i>L</i>. <i>major</i> infection. by Gopinath Venugopal (638444)

Table1_Identification of significant biomarkers for predicting the risk of bipolar disorder with arteriosclerosis based on integrative bioinformatics and machine learning.xlsx by Xiabing Zheng (19527181)

Image 1_Construction of a clinically significant prostate cancer risk prediction model based on traditional diagnostic methods.tif by Wen-Tong Ji (20457248)

“…Objectives<p>to construct a prediction model for clinically significant prostate cancer (csPCa) based on prostate-specific antigen (PSA) levels, digital rectal examination (DRE), and transrectal ultrasonography (TRUS).…”

The top five significant biological processes for each trait. by Hyo Jun Lee (9721560)