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Table 1 

Fixed-effects estimates for the logistic regression model.

FactorEstimate (SE)Odds Ratiozp
Intercept −7.88 (0.58) 1:2,688.34 −13.70  <0.001 
Log amount of example data 1.68 (0.20) 5.35:1 8.25 <0.001 
Learner settings: k = 3, l = 0 5.24 (0.28) 189.46:1 18.87 <0.001 
FactorEstimate (SE)Odds Ratiozp
Intercept −7.88 (0.58) 1:2,688.34 −13.70  <0.001 
Log amount of example data 1.68 (0.20) 5.35:1 8.25 <0.001 
Learner settings: k = 3, l = 0 5.24 (0.28) 189.46:1 18.87 <0.001 
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