Actual(There are not any errors, but model is not built) :
2020-05-27 11:43:58 [Main thread] INFO PatientLevelPrediction randomSplitter Creating a 25% test and 75% train (into 3 folds) random stratified split by class2020-05-27 11:43:58 [Main thread] INFO PatientLevelPrediction randomSplitter Data split into 1487 test cases and 4465 train cases (1489, 1489, 1487)2020-05-27 11:43:58 [Main thread] INFO PatientLevelPrediction Training AdaBoost model
Expected:
2020-05-15 16:08:22 [Main thread] INFO PatientLevelPrediction Training AdaBoost model2020-05-15 16:08:47 [Main thread] INFO PatientLevelPrediction predict.pythonReticulate Mapping covariates...2020-05-15 16:08:48 [Main thread] INFO PatientLevelPrediction predict.pythonReticulate Executing prediction...2020-05-15 16:08:48 [Main thread] INFO PatientLevelPrediction predict.pythonReticulate Returning results...2020-05-15 16:08:48 [Main thread] INFO PatientLevelPrediction Train set evaluation2020-05-15 16:08:48 [Main thread] INFO PatientLevelPrediction evaluatePlp AUC: 99.052020-05-15 16:08:48 [Main thread] INFO PatientLevelPrediction evaluatePlp 95% lower AUC: 98.722020-05-15 16:08:48 [Main thread] INFO PatientLevelPrediction evaluatePlp 95% upper AUC: 99.392020-05-15 16:08:48 [Main thread] INFO PatientLevelPrediction evaluatePlp AUPRC: 58.962020-05-15 16:08:48 [Main thread] INFO PatientLevelPrediction evaluatePlp Brier: 0.192020-05-15 16:08:50 [Main thread] INFO PatientLevelPrediction evaluatePlp Calibration gradient: 0.18 intercept: -0.072020-05-15 16:08:50 [Main thread] INFO PatientLevelPrediction evaluatePlp Average Precision: 0.592020-05-15 16:08:50 [Main thread] INFO PatientLevelPrediction Test set evaluation2020-05-15 16:08:50 [Main thread] INFO PatientLevelPrediction evaluatePlp AUC: 55.612020-05-15 16:08:50 [Main thread] INFO PatientLevelPrediction evaluatePlp 95% lower AUC: 44.332020-05-15 16:08:50 [Main thread] INFO PatientLevelPrediction evaluatePlp 95% upper AUC: 66.902020-05-15 16:08:50 [Main thread] INFO PatientLevelPrediction evaluatePlp AUPRC: 1.582020-05-15 16:08:50 [Main thread] INFO PatientLevelPrediction evaluatePlp Brier: 0.192020-05-15 16:08:52 [Main thread] INFO PatientLevelPrediction evaluatePlp Calibration gradient: 0.05 intercept: -0.012020-05-15 16:08:52 [Main thread] INFO PatientLevelPrediction evaluatePlp Average Precision: 0.022020-05-15 16:08:52 [Main thread] WARN utils memory.size 'memory.size()' is Windows-specific2020-05-15 16:08:52 [Main thread] INFO PatientLevelPrediction Calculating covariate summary @ 2020-05-15 16:08:522020-05-15 16:08:52 [Main thread] INFO PatientLevelPrediction This can take a while...2020-05-15 16:09:01 [Main thread] INFO PatientLevelPrediction Finished covariate summary @ 2020-05-15 16:09:012020-05-15 16:09:01 [Main thread] INFO PatientLevelPrediction Saving PlpResult2020-05-15 16:09:02 [Main thread] INFO PatientLevelPrediction plpResult saved to ..\//results/Analysis_4\plpResult2020-05-15 16:09:02 [Main thread] INFO PatientLevelPrediction Log saved to //results/Analysis_4/plplog.txt2020-05-15 16:09:02 [Main thread] INFO PatientLevelPrediction Run finished successfully
WebApi 2.7.7 EE 1.16.1
Steps: 1)Run plp plp277.txt 2)Download results 3)Open results\Analysis_4
Actual(There are not any errors, but model is not built) :
2020-05-27 11:43:58 [Main thread] INFO PatientLevelPrediction randomSplitter Creating a 25% test and 75% train (into 3 folds) random stratified split by class2020-05-27 11:43:58 [Main thread] INFO PatientLevelPrediction randomSplitter Data split into 1487 test cases and 4465 train cases (1489, 1489, 1487)2020-05-27 11:43:58 [Main thread] INFO PatientLevelPrediction Training AdaBoost model
Expected: 2020-05-15 16:08:22 [Main thread] INFO PatientLevelPrediction Training AdaBoost model2020-05-15 16:08:47 [Main thread] INFO PatientLevelPrediction predict.pythonReticulate Mapping covariates...2020-05-15 16:08:48 [Main thread] INFO PatientLevelPrediction predict.pythonReticulate Executing prediction...2020-05-15 16:08:48 [Main thread] INFO PatientLevelPrediction predict.pythonReticulate Returning results...2020-05-15 16:08:48 [Main thread] INFO PatientLevelPrediction Train set evaluation2020-05-15 16:08:48 [Main thread] INFO PatientLevelPrediction evaluatePlp AUC: 99.052020-05-15 16:08:48 [Main thread] INFO PatientLevelPrediction evaluatePlp 95% lower AUC: 98.722020-05-15 16:08:48 [Main thread] INFO PatientLevelPrediction evaluatePlp 95% upper AUC: 99.392020-05-15 16:08:48 [Main thread] INFO PatientLevelPrediction evaluatePlp AUPRC: 58.962020-05-15 16:08:48 [Main thread] INFO PatientLevelPrediction evaluatePlp Brier: 0.192020-05-15 16:08:50 [Main thread] INFO PatientLevelPrediction evaluatePlp Calibration gradient: 0.18 intercept: -0.072020-05-15 16:08:50 [Main thread] INFO PatientLevelPrediction evaluatePlp Average Precision: 0.592020-05-15 16:08:50 [Main thread] INFO PatientLevelPrediction Test set evaluation2020-05-15 16:08:50 [Main thread] INFO PatientLevelPrediction evaluatePlp AUC: 55.612020-05-15 16:08:50 [Main thread] INFO PatientLevelPrediction evaluatePlp 95% lower AUC: 44.332020-05-15 16:08:50 [Main thread] INFO PatientLevelPrediction evaluatePlp 95% upper AUC: 66.902020-05-15 16:08:50 [Main thread] INFO PatientLevelPrediction evaluatePlp AUPRC: 1.582020-05-15 16:08:50 [Main thread] INFO PatientLevelPrediction evaluatePlp Brier: 0.192020-05-15 16:08:52 [Main thread] INFO PatientLevelPrediction evaluatePlp Calibration gradient: 0.05 intercept: -0.012020-05-15 16:08:52 [Main thread] INFO PatientLevelPrediction evaluatePlp Average Precision: 0.022020-05-15 16:08:52 [Main thread] WARN utils memory.size 'memory.size()' is Windows-specific2020-05-15 16:08:52 [Main thread] INFO PatientLevelPrediction Calculating covariate summary @ 2020-05-15 16:08:522020-05-15 16:08:52 [Main thread] INFO PatientLevelPrediction This can take a while...2020-05-15 16:09:01 [Main thread] INFO PatientLevelPrediction Finished covariate summary @ 2020-05-15 16:09:012020-05-15 16:09:01 [Main thread] INFO PatientLevelPrediction Saving PlpResult2020-05-15 16:09:02 [Main thread] INFO PatientLevelPrediction plpResult saved to ..\//results/Analysis_4\plpResult2020-05-15 16:09:02 [Main thread] INFO PatientLevelPrediction Log saved to //results/Analysis_4/plplog.txt2020-05-15 16:09:02 [Main thread] INFO PatientLevelPrediction Run finished successfully