Run
19845

Run 19845

Task 26 (Supervised Classification) nursery Uploaded 17-06-2014 by Joaquin Vanschoren
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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
Cross-validation details (10-fold Crossvalidation)
F measure
0.8712
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8249
Cross-validation details (10-fold Crossvalidation)
KB relative information score
9317.6154
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0841
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.273
Cross-validation details (10-fold Crossvalidation)
Number of instances
12960
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8724
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.882
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7176
Cross-validation details (10-fold Crossvalidation)
Recall
0.882
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3079
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3695
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1984
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5369
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
923.8188[562.1143028726297997.3887608680599451.9115558729839860.05246599034941747.6266666666663]