Run
7550

Run 7550

Task 16 (Supervised Classification) mfeat-karhunen 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
0.9922
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9034
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8928
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1540.0354
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0707
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.9039
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9035
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.9035
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3929
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.15
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
949.7806[570.75937279643691015.5230404536866489.84574223453643912.75766683510371760.017229859821]