DEVELOPMENT... OpenML
Run
23442

Run 23442

Task 53 (Supervised Classification) vehicle Uploaded 25-06-2014 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
0.9218
Per class
F measure
0.7314
Per class
Kappa
0.6517
KB relative information score
580.8539
Mean absolute error
0.132
Mean prior absolute error
0.3748
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7284
Per class
Predictive accuracy
0.7388
Prior entropy
1.9991
Recall
0.7388
Per class
Relative absolute error
0.352
Root mean prior squared error
0.4329
Root mean squared error
0.3362
Root relative squared error
0.7765
SciMark benchmark
907.3885[509.26734723613411007.0316472325012447.01991930399396833.79133443725791739.832252158097]