DEVELOPMENT... OpenML
Run
162889

Run 162889

Task 3806 (Supervised Classification) fri_c0_500_10 Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I20
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.894
Per class
F measure
0.8376
Per class
Kappa
0.6748
KB relative information score
315.4988
Mean absolute error
0.1886
Mean prior absolute error
0.4994
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8392
Per class
Predictive accuracy
0.838
Prior entropy
0.9991
Recall
0.838
Per class
Relative absolute error
0.3778
Root mean prior squared error
0.4997
Root mean squared error
0.3765
Root relative squared error
0.7535
SciMark benchmark
933.8635
UserCPU time millis
80
UserCPU time millis training
80