DEVELOPMENT... OpenML
Run
23567

Run 23567

Task 47 (Supervised Classification) tae Uploaded 26-06-2014 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)_I20
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
0.6971
Per class
F measure
0.5429
Per class
Kappa
0.3143
KB relative information score
36.0028
Mean absolute error
0.3734
Mean prior absolute error
0.4443
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5428
Per class
Predictive accuracy
0.543
Prior entropy
1.5845
Recall
0.543
Per class
Relative absolute error
0.8403
Root mean prior squared error
0.4713
Root mean squared error
0.4478
Root relative squared error
0.95
SciMark benchmark
938.4022[564.29653665317711002.8388867911872475.31735608978465897.44607893752641752.112015678972]