DEVELOPMENT... OpenML
Run
23055

Run 23055

Task 30 (Supervised Classification) page-blocks Uploaded 23-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_REPTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_REPTree(1)_C3
weka.MultiBoostAB_REPTree(1)_I80
weka.MultiBoostAB_REPTree(1)_P100
weka.MultiBoostAB_REPTree(1)_S1
weka.MultiBoostAB_REPTree(1)_Wweka.classifiers.trees.REPTree
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

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
0.9846
Per class
F measure
0.971
Per class
Kappa
0.8467
KB relative information score
4427.7286
Mean absolute error
0.0122
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
0.9708
Per class
Predictive accuracy
0.9715
Prior entropy
0.6391
Recall
0.9715
Per class
Relative absolute error
0.1599
Root mean prior squared error
0.1949
Root mean squared error
0.0978
Root relative squared error
0.502
SciMark benchmark
922.9957[555.137066274869966.1343536629564483.23216931738307858.36283075777761752.1121496976039]