Run
514697

Run 514697

Task 9969 (Supervised Classification) thoracic-surgery Uploaded 28-01-2016 by Rafael Gomes Mantovani
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Flow

classif.randomForestSRC(5)Learner classif.randomForestSRC from package(s) randomForestSRC.
classif.randomForestSRC(5)_na.actionna.impute
classif.randomForestSRC(5)_seed1
classif.randomForestSRC(5)_kindMersenne-Twister
classif.randomForestSRC(5)_normal.kindInversion

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.495
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7783
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0164
Cross-validation details (10-fold Crossvalidation)
KB relative information score
107.6095
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1574
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2546
Cross-validation details (10-fold Crossvalidation)
Number of instances
470
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7232
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8426
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6109
Cross-validation details (10-fold Crossvalidation)
Recall
0.8426
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6185
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.356
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3968
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1145
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
33.853
UserCPU time millis testing
6.566
UserCPU time millis training
27.287