DEVELOPMENT... OpenML
Run
7103

Run 7103

Task 30 (Supervised Classification) page-blocks Uploaded 21-05-2014 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
0.9888
Per class
F measure
0.9677
Per class
Kappa
0.8298
KB relative information score
3921.4569
Mean absolute error
0.0243
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9685
Per class
Predictive accuracy
0.97
Prior entropy
0.6391
Recall
0.97
Per class
Relative absolute error
0.3188
Root mean prior squared error
0.1949
Root mean squared error
0.0986
Root relative squared error
0.5062
SciMark benchmark
946.2399[561.0294815668511014.1867954103211483.8854846559526905.81899363791421766.2785639901995]