DEVELOPMENT... OpenML
Run
19845

Run 19845

Task 26 (Supervised Classification) nursery Uploaded 17-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_LWL_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(1)_C3
weka.MultiBoostAB_LWL_DecisionStump(1)_I20
weka.MultiBoostAB_LWL_DecisionStump(1)_P100
weka.MultiBoostAB_LWL_DecisionStump(1)_S1
weka.MultiBoostAB_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL

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
0.9501
Per class
F measure
0.8712
Per class
Kappa
0.8249
KB relative information score
9317.6154
Mean absolute error
0.0841
Mean prior absolute error
0.273
Number of instances
12960
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8724
Per class
Predictive accuracy
0.882
Prior entropy
1.7176
Recall
0.882
Per class
Relative absolute error
0.3079
Root mean prior squared error
0.3695
Root mean squared error
0.1984
Root relative squared error
0.5369
SciMark benchmark
923.8188[562.1143028726297997.3887608680599451.9115558729839860.05246599034941747.6266666666663]