Run
21964

Run 21964

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 21-06-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_RandomForest(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(1)_I80
weka.Bagging_RandomForest(1)_P100
weka.Bagging_RandomForest(1)_S1
weka.Bagging_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(1)_num-slots1
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

Result files

xml
Description

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

arff
Predictions

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

19 Evaluation measures

Area under ROC curve
0.4178
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5455
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.1504
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-7.5523
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2943
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2871
Cross-validation details (10-fold Crossvalidation)
Number of instances
90
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4856
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6222
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.0305
Cross-validation details (10-fold Crossvalidation)
Recall
0.6222
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0254
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3755
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4147
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1043
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
932.868[555.84468885878331014.7208839634673479.3490265306122913.07556704216551701.349927860431]