DEVELOPMENT... OpenML
Run
22991

Run 22991

Task 12 (Supervised Classification) mfeat-factors Uploaded 23-06-2014 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)_I80
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
0.9888
Per class
F measure
0.9136
Per class
Kappa
0.9039
KB relative information score
1743.8151
Mean absolute error
0.0347
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
0.9146
Per class
Predictive accuracy
0.9135
Prior entropy
3.3219
Recall
0.9135
Per class
Relative absolute error
0.1929
Root mean prior squared error
0.3
Root mean squared error
0.1213
Root relative squared error
0.4045
SciMark benchmark
915.9951[535.8650011290683979.8906509093104471.14607971095336890.13244802130791702.9414730590597]