DEVELOPMENT... OpenML
Run
21180

Run 21180

Task 16 (Supervised Classification) mfeat-karhunen Uploaded 18-06-2014 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)_I10
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
0.9512
Per class
F measure
0.7774
Per class
Kappa
0.7489
KB relative information score
1347.7011
Mean absolute error
0.08
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
0.7979
Per class
Predictive accuracy
0.774
Prior entropy
3.3219
Recall
0.774
Per class
Relative absolute error
0.4442
Root mean prior squared error
0.3
Root mean squared error
0.1923
Root relative squared error
0.6412
SciMark benchmark
927.3849[546.9553368015218988.4355182753967473.2224763010988877.32257846647871750.9885882679507]