DEVELOPMENT... OpenML
Run
23542

Run 23542

Task 47 (Supervised Classification) tae Uploaded 26-06-2014 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
0.7267
Per class
F measure
0.5577
Per class
Kappa
0.336
KB relative information score
52.8138
Mean absolute error
0.3213
Mean prior absolute error
0.4443
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5752
Per class
Predictive accuracy
0.5563
Prior entropy
1.5845
Recall
0.5563
Per class
Relative absolute error
0.7231
Root mean prior squared error
0.4713
Root mean squared error
0.4803
Root relative squared error
1.019
SciMark benchmark
932.0989[565.7608405105391987.1695626777254470.3205552291989894.07915072242371743.1642237068993]