DEVELOPMENT... OpenML
Run
18159

Run 18159

Task 31 (Supervised Classification) credit-g Uploaded 10-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I40
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.6271
Per class
F measure
0.6727
Per class
Kappa
0.2179
KB relative information score
162.4164
Mean absolute error
0.3277
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6715
Per class
Predictive accuracy
0.674
Prior entropy
0.8818
Recall
0.674
Per class
Relative absolute error
0.7799
Root mean prior squared error
0.4583
Root mean squared error
0.5568
Root relative squared error
1.2151
SciMark benchmark
916.8154[565.3940416310953864.4930142903995484.10363182779514914.03067367712611756.0556588021248]