DEVELOPMENT... OpenML
Run
8150

Run 8150

Task 51 (Supervised Classification) trains Uploaded 22-05-2014 by Felicia West
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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
0.08
Per class
F measure
0.0909
Per class
Kappa
-0.8
KB relative information score
-1.4636
Mean absolute error
0.5559
Mean prior absolute error
0.5
Number of instances
10
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0833
Per class
Predictive accuracy
0.1
Prior entropy
1
Recall
0.1
Per class
Relative absolute error
1.1118
Root mean prior squared error
0.5
Root mean squared error
0.5585
Root relative squared error
1.117
SciMark benchmark
944.6248[566.12807181085051013.3868112175512478.4945829226523912.43998791392861752.6744042525834]