DEVELOPMENT... OpenML
Run
24043

Run 24043

Task 11 (Supervised Classification) balance-scale Uploaded 30-06-2014 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)_I10
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
0.9522
Per class
F measure
0.8185
Per class
Kappa
0.725
KB relative information score
412.0868
Mean absolute error
0.1051
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7884
Per class
Predictive accuracy
0.8512
Prior entropy
1.3212
Recall
0.8512
Per class
Relative absolute error
0.2768
Root mean prior squared error
0.4356
Root mean squared error
0.2899
Root relative squared error
0.6655
SciMark benchmark
946.3134[561.39059440769631015.52310425331482.5806157404377911.48820099582031760.5845701777503]