DEVELOPMENT... OpenML
Run
162827

Run 162827

Task 3747 (Supervised Classification) fri_c0_500_5 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
0.8794
Per class
F measure
0.7959
Per class
Kappa
0.5919
KB relative information score
286.5996
Mean absolute error
0.2169
Mean prior absolute error
0.5
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
0.7963
Per class
Predictive accuracy
0.796
Prior entropy
1
Recall
0.796
Per class
Relative absolute error
0.4338
Root mean prior squared error
0.5
Root mean squared error
0.4032
Root relative squared error
0.8063
SciMark benchmark
922.9039
UserCPU time millis
40
UserCPU time millis training
40