Flowchart of neural network and linear regression prediction model. by Dania AL-Najjar (11840857)

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Machine Learning Model Performance Sorted by Decreasing MAE. by Renan N. D. Almeida (9265283)

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Model prediction error analysis. by Hongqi Wang (2208238)

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Empirical model prediction error analysis. by Hongqi Wang (2208238)

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Model prediction error trend chart. by Hongqi Wang (2208238)

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Model prediction error analysis index. by Hongqi Wang (2208238)

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Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice. by Udaysankar Chockanathan (18510288)

“…(B) In dCA1, spatial information was decreased in APP/PS1 mice relative to C57BL/6 controls (mean ± std: C57BL/6 = 0.132 ± 0.048, APP/PS1 = 0.128 ± 0.051, p < 0.005, two-sided Wilcoxon rank-sum test, n_C57BL/6 = 305 units from 5 recording sessions, n_APP/PS1 = 180 units from 4 recording sessions). …”

Multivariate linear regression models for three approaches. by Bulent Gucyetmez (849602)

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

“…C) Fewer days in the study predicted greater urine output (p = .034). The black line represents the line of best fit based on the reduced model with marginal means. …”

Model comparisons of linear-mixed effect models predicting internalizing and externalizing problems. by Irina Jarvers (10704223)

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Comparison of measured and predicted values of empirical model prediction. by Hongqi Wang (2208238)

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Model fit for Mixed-Effects Multi-linear Regressions with PSS-Moderate (PSS> = 14) as a binary outcome measure. by Laura S. P. Bloomfield (3820531)

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S2 File - Factors influencing effective decrease of controlled attenuation parameters in metabolic-associated steatotic liver disease: A multilevel linear regression analysis at Va... by Sonsawan Sangprasert (22772538)

Estimated marginal means of the RMS per muscle, based on the linear mixed-effects model. by I. Moll (14227650)

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Estimated marginal means of the MF per muscle, based on the linear mixed-effects model. by I. Moll (14227650)

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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)

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Predictor importance for predicting stock market using neural network and linear predictor. by Dania AL-Najjar (11840857)

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Cat Stress Score (CSS) was significantly predicted by intake type and days in the study. by Allison Andrukonis (11846404)

“…B) More days in the study predicted lower CSS (<i>p</i> <  0.001). The black line represents the line of best fit based on the reduced model with marginal means. …”

Predicted banana distribution map (2016) using logistic regression model M2-12 fitted using 12 covariates and significant two-way combinations. by Dennis Ochola (11626912)

“…<p>Predicted banana distribution map (2016) using logistic regression model M2-12 fitted using 12 covariates and significant two-way combinations.…”

Results of linear regression models predicting children’s internalizing and externalizing problems at T2 and T3. by Irina Jarvers (10704223)

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