DEVELOPMENT... OpenML
Run
162864

Run 162864

Task 3783 (Supervised Classification) fri_c2_500_50 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
0.9013
Per class
F measure
0.8222
Per class
Kappa
0.6329
KB relative information score
306.8158
Mean absolute error
0.186
Mean prior absolute error
0.4839
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
0.8224
Per class
Predictive accuracy
0.822
Prior entropy
0.9767
Recall
0.822
Per class
Relative absolute error
0.3844
Root mean prior squared error
0.4918
Root mean squared error
0.3875
Root relative squared error
0.7879
SciMark benchmark
922.9039
UserCPU time millis
190
UserCPU time millis training
190