Run
14042

Run 14042

Task 10 (Supervised Classification) lymph 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
0.8653
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7414
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5198
Cross-validation details (10-fold Crossvalidation)
KB relative information score
53.5638
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1832
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2677
Cross-validation details (10-fold Crossvalidation)
Number of instances
148
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
0.7312
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7568
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.7568
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6844
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2895
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7954
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
948.3904[566.4958240211141014.4538012229739483.0147548568529916.26701994949291761.7203488120049]