Run
8394

Run 8394

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 22-05-2014 by Joaquin Vanschoren
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Flow

weka.RandomSubSpace_REPTree(1)Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL http://citeseer.ist.psu.edu/ho98random.html.
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001
weka.RandomSubSpace_REPTree(1)_I10
weka.RandomSubSpace_REPTree(1)_P0.5
weka.RandomSubSpace_REPTree(1)_S1
weka.RandomSubSpace_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.RandomSubSpace_REPTree(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
0.4201
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5911
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1.4088
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2823
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
0.5057
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7111
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.0305
Cross-validation details (10-fold Crossvalidation)
Recall
0.7111
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9835
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3755
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3763
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0022
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
881.2594[573.0094255478485857.5678798364443483.449727694041913.39368876640651578.8763106875435]