DEVELOPMENT... OpenML
Run
162825

Run 162825

Task 3743 (Supervised Classification) fri_c2_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
0.8674
Per class
F measure
0.7844
Per class
Kappa
0.5485
KB relative information score
259.9002
Mean absolute error
0.2258
Mean prior absolute error
0.4768
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
0.7849
Per class
Predictive accuracy
0.784
Prior entropy
0.9664
Recall
0.784
Per class
Relative absolute error
0.4736
Root mean prior squared error
0.4882
Root mean squared error
0.4272
Root relative squared error
0.875
SciMark benchmark
922.9039
UserCPU time millis
90
UserCPU time millis training
90