Model,MAE Rank,Sub-model,Descriptive Name,Model Development Algorithm,Stopping Rule,Training Data Type and/or Validation Data Type,Number of Covariates,Description
LR-SR1-O,1,LR-O,Optimal Logistic Regression (LR),Logistic Regression,SR1,Occurrence (O),4,"Optimized Logistic Regression from best combination of covariates trained and validated with occurrence data, and upper limit detected with our stopping rule"
LR-SR1-H,2,LR-H,Optimal Logistic Regression (LR),Logistic Regression,SR1,Habitat (H),5,"Optimized Logistic Regression from best combination of covariates trained and validated with habitat data, and upper limit detected with our stopping rule"
RF-SR1-H,3,RF-H,Optimal Random Forest (RF),Random Forest,SR1,Habitat (H),5,"Optimized Random Forest from best combination of covariates trained and validated with habitat data, and upper limit detected with our stopping rule"
LR-SR2-O,4,LR-O,Optimal Logistic Regression (LR),Logistic Regression,SR2,Occurrence (O),4,"Optimized Logistic Regression from best combination of covariates trained and validated with occurrence data, and upper limit detected with Fransen benchmark 1 stopping rule"
RF-SR2-H,5,RF-H,Optimal Random Forest (RF),Random Forest,SR2,Habitat (H),5,"Optimized Random Forest from best combination of covariates trained and validated with habitat data, and upper limit detected with Fransen benchmark 1 stopping rule"
LR-SR3-O,6,LR-O,Optimal Logistic Regression (LR),Logistic Regression,SR3,Occurrence (O),4,"Optimized Logistic Regression from best combination of covariates trained and validated with occurrence data, and upper limit detected with Fransen optimal stopping rule"
LR-SR2-H,7,LR-H,Optimal Logistic Regression (LR),Logistic Regression,SR2,Habitat (H),5,"Optimized Logistic Regression from best combination of covariates trained and validated with habitat data, and upper limit detected with Fransen benchmark 1 stopping rule"
LR-SR3-H,8,LR-H,Optimal Logistic Regression (LR),Logistic Regression,SR3,Habitat (H),5,"Optimized Logistic Regression from best combination of covariates trained and validated with habitat data, and upper limit detected with Fransen optimal stopping rule"
RF-SR3-H,9,RF-H,Optimal Random Forest (RF),Random Forest,SR3,Habitat (H),5,"Optimized Random Forest from best combination of covariates trained and validated with habitat data, and upper limit detected with Fransen optimal stopping rule"
RF-SR1-O,10,RF-O,Optimal Random Forest (RF),Random Forest,SR1,Occurrence (O),26,"Optimized Random Forest from best combination of covariates trained and validated with occurrence data, and upper limit detected with our stopping rule"
Fransen-SR1-H,11,Fransen-H,Fransen (Fransen),Logistic Regression,SR1,Habitat (H),4,Fransen et al. 2006 model with our stopping rule validated with habitat data
Fransen-SR1-O,12,Fransen-O,Fransen (Fransen),Logistic Regression,SR1,Occurrence (O),4,Fransen et al. 2006 model with our stopping rule validated with occurrence data
Refit-SR1-H,13,Refit-H,Fransen Refit (Refit),Logistic Regression,SR1,Habitat (H),4,"Fransen model refit to and validated with habitat data, and upper limit detected with our stopping rule"
Refit-SR1-O,14,Refit-O,Fransen Refit (Refit),Logistic Regression,SR1,Occurrence (O),4,"Fransen model refit to and validated with occurrence data, and upper limit detected with our stopping rule"
RF-SR3-O,15,RF-O,Optimal Random Forest (RF),Random Forest,SR3,Occurrence (O),26,"Optimized Random Forest from best combination of covariates trained and validated with occurrence data, and upper limit detected with Fransen optimal stopping rule"
Fransen-Optimal-O,16,Fransen-O,Fransen (Fransen),Logistic Regression,SR3,Occurrence (O),4,Fransen et al. 2006 model with their optimal stopping rule validated with occurrence data
Fransen-Optimal-H,17,Fransen-H,Fransen (Fransen),Logistic Regression,SR3,Habitat (H),4,Fransen et al. 2006 model with their optimal stopping rule validated with habitat data
Refit-SR3-O,18,Refit-O,Fransen Refit (Refit),Logistic Regression,SR3,Occurrence (O),4,"Fransen model refit to and validated with occurrence data, and upper limit detected with their optimal stopping rule"
Refit-SR3-H,19,Refit-H,Fransen Refit (Refit),Logistic Regression,SR3,Habitat (H),4,"Fransen model refit to and validated with habitat data, and upper limit detected with their optimal stopping rule"
RF-SR2-O,20,RF-O,Optimal Random Forest (RF),Random Forest,SR2,Occurrence (O),26,"Optimized Random Forest from best combination of covariates trained and validated with occurrence data, and upper limit detected with Fransen benchmark 1 stopping rule"
Refit-SR2-H,21,Refit-H,Fransen Refit (Refit),Logistic Regression,SR2,Habitat (H),4,"Fransen model refit to and validated with habitat data, and upper limit detected with Fransen benchmark 1 stopping rule"
Fransen-SR2-H,22,Fransen-H,Fransen (Fransen),Logistic Regression,SR2,Habitat (H),4,Fransen et al. 2006 model with their benchmark 1 stopping rule validated with habitat data
Refit-SR2-O,23,Refit-O,Fransen Refit (Refit),Logistic Regression,SR2,Occurrence (O),4,"Fransen model refit to and validated with occurrence data, and upper limit detected with Fransen benchmark 1 stopping rule"
Fransen-SR2-O,24,Fransen-O,Fransen (Fransen),Logistic Regression,SR2,Occurrence (O),4,Fransen et al. 2006 model with their benchmark 1 stopping rule validated with occurrence data
Slope-20-H,25,-,20% Slope,-,20% Slope,Habitat (H),-,Upper limit determined by lowest reach on network having >= 20% slope over 20 meters validated with habitat data
Slope-20-O,26,-,20% Slope,-,20% Slope,Occurrence (O),-,Upper limit determined by lowest reach on network having >= 20% slope over 20 meters validated with occurrence data