Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest. by Helal El-Zaatari (20442243)

Prediction of bacterial BugBase phenotype. by Jun Sun (48981)

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Predicted confidence scores and 95% confidence intervals for the range of observed knowledge scores for barrier scores of 12, 23 and 36. by Lisa Thiele (6468056)

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Brain regions with significantly decreased activations for the Raven task are shown in blue. by Morteza Fattahi (15892028)

Pearson correlation analysis between pairs of feature parameters. by Bin Pan (742525)

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Gene profiles of leaf and root endophytic bacterial communities of <i>Synsepalum dulcificum</i> predicted using Tax4Fun 2. by Rabiath F. R. Adigoun (14189090)

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The correlation between clinical presentations and baseline serum inflammatory cytokines before TFESI. by Pornpan Chalermkitpanit (22110121)

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ROC curve analysis for the predictive power of biomarkers for distinguishing between patients with Omicron variant and healthy controls. by Feng Gao (3548)

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Correlations between significantly different microbiota and metabolites. by Bhuripit Saraphol (20855573)

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The correlation between the duration of pain symptoms and baseline serum inflammatory cytokine levels before TFESI. by Pornpan Chalermkitpanit (22110121)

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SARIMA predicts season components. by Xiangjuan Liu (618000)

“…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”

The variables that significantly predicted litter clump weight in shelter cats. by Allison Andrukonis (11846404)

Scatter plots of the relationships between age and the proportions of cells which statistically significantly correlated with age. by Arttu Autio-Kimura (20454681)

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S1 Data - Dynamic changes of activated partial thromboplastin time and correlation with mortality in patients with severe fever with thrombocytopenia syndrome: A retrospective coho... by Huan Wang (109286)

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Transepithelial resistance of NHBE decreases significantly after PAA exposure. by Ellie S. Burns (21246537)

Analysis of raw data prediction results. by Xiangjuan Liu (618000)

“…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”

Analysis of STL-PCA prediction results. by Xiangjuan Liu (618000)

“…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”

Correlation diagram of each parameter in each group. by Neng Pan (5262032)

Spearman correlations between the various baseline radiological parameters. by Harshit Arora (22008280)

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Prediction effect of each model after STL. by Xiangjuan Liu (618000)

“…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”