alpha |
Alpha Calculation for Pruning Procedure |
bagging |
Bagging data |
barplot_importance |
Barplot Variable Importance |
bestEAT |
Tuning an Efficiency Analysis Trees model |
bestRFEAT |
Tuning a Random Forest + Efficiency Analysis Trees model |
CEAT_BCC_in |
Banker, Charnes and Cooper programming model with input orientation for a convex Efficiency Analysis Tree model |
CEAT_BCC_out |
Banker, Charnes and Cooper programming model with output orientation for a convex Efficiency Analysis Tree model |
CEAT_DDF |
Directional Distance Function mathematical programming model for a convex Efficiency Analysis Tree model |
CEAT_RSL_in |
Russell Model with input orientation for a convex Efficiency Analysis Tree model |
CEAT_RSL_out |
Russell Model with output orientation for a convex Efficiency Analysis Tree model |
CEAT_WAM |
Weighted Additive Model for a convex Efficiency Analysis Tree model |
checkEAT |
Check Efficiency Analysis Trees. |
comparePareto |
Pareto-dominance relationships |
deepEAT |
Deep Efficiency Analysis Trees |
descrEAT |
Leaf Nodes Descriptive |
EAT |
Efficiency Analysis Trees |
EAT_BCC_in |
Banker, Charnes and Cooper Programming Model with Input Orientation for an Efficiency Analysis Trees model |
EAT_BCC_out |
Banker, Charnes and Cooper Programming Model with Output Orientation for an Efficiency Analysis Trees model |
EAT_DDF |
Directional Distance Function Programming Model for an Efficiency Analysis Trees model |
EAT_object |
EAT object |
EAT_RSL_in |
Russell Model with Input Orientation for an Efficiency Analysis Trees model |
EAT_RSL_out |
Russell Model with Output Orientation for an Efficiency Analysis Trees model |
EAT_WAM |
Weighted Additive Model for an Efficiency Analysis Trees model |
efficiencyCEAT |
Convex Efficiency Analysis Tree Efficiency Scores |
efficiencyDensity |
Efficiency Scores Density Plot |
efficiencyEAT |
Efficiency Analysis Trees Efficiency Scores |
efficiencyJitter |
Efficiency Scores Jitter Plot |
efficiencyRFEAT |
Random Forest + Efficiency Analysis Trees Efficiency Scores |
estimEAT |
Estimation of child nodes |
frontier |
Efficiency Analysis Trees Frontier Graph |
frontier.levels |
Efficiency Analysis Trees Frontier Output Levels |
generateLv |
Train and Test Sets Generation |
imp_var_EAT |
Breiman's Variable Importance |
imp_var_RFEAT |
Variable Importance through Random Forest + Efficiency Analysis Trees |
isFinalNode |
Is Final Node |
layout |
Layout for nodes in plotEAT |
mse |
Mean Square Error |
mtry_inputSelection |
Random Selection of Variables |
M_Breiman |
Breiman Importance |
PISAindex |
PISA score and social index by country |
plotEAT |
Efficiency Analysis Trees Plot |
plotRFEAT |
Random Forest + Efficiency Analysis Trees Plot |
posIdNode |
Position of the node |
predictEAT |
Model Prediction for Efficiency Analysis Trees. |
predictFDH |
Model prediction for Free Disposal Hull |
predictor |
Efficiency Analysis Trees Predictor |
predictRFEAT |
Model prediction for Random Forest + Efficiency Analysis Trees model. |
preProcess |
Data preprocessing |
RandomEAT |
Individual EAT for Random Forest |
rankingEAT |
Ranking of Variables by Efficiency Analysis Trees |
rankingRFEAT |
Ranking of variables by Random Forest + Efficiency Analysis Trees. |
RBranch |
Branch Pruning |
RCV |
RCV |
RFEAT |
Random Forest EAT |
RFEAT_object |
RFEAT object |
RF_predictor |
Random Forest + Efficiency Analysis Trees Predictor |
scores |
Pruning Scores |
selectTk |
Select Tk |
select_mtry |
Select Possible Inputs in Split. |
SERules |
SERules |
size |
Efficiency Analysis Trees Size |
split |
Split node |
split_forest |
Split Node in Random Forest EAT |
treesForRCV |
Trees for RCV |
X2Y2.sim |
2 Inputs & 2 Outputs Scenario |
Y1.sim |
Single Output Data Generation |