DEVELOPMENT... OpenML
Run
162725

Run 162725

Task 3645 (Supervised Classification) fri_c1_500_25 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
0.8893
Per class
F measure
0.8359
Per class
Kappa
0.6701
KB relative information score
321.1055
Mean absolute error
0.1826
Mean prior absolute error
0.4977
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
0.8359
Per class
Predictive accuracy
0.836
Prior entropy
0.9967
Recall
0.836
Per class
Relative absolute error
0.3669
Root mean prior squared error
0.4988
Root mean squared error
0.3694
Root relative squared error
0.7405
SciMark benchmark
922.9039
UserCPU time millis
100
UserCPU time millis training
100