DEVELOPMENT... OpenML
Run
19680

Run 19680

Task 14 (Supervised Classification) mfeat-fourier Uploaded 16-06-2014 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)_I40
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
0.8981
Per class
F measure
0.5572
Per class
Kappa
0.5383
KB relative information score
630.3216
Mean absolute error
0.1557
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6327
Per class
Predictive accuracy
0.5845
Prior entropy
3.3219
Recall
0.5845
Per class
Relative absolute error
0.8652
Root mean prior squared error
0.3
Root mean squared error
0.2708
Root relative squared error
0.9028
SciMark benchmark
925.3152[541.01757207906621008.3490290617938416.82524624821576912.75766683510371747.6266666666663]