DEVELOPMENT... OpenML
Run
163589

Run 163589

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)_I40
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
0.934
Per class
F measure
0.8639
Per class
Kappa
0.7185
KB relative information score
349.1972
Mean absolute error
0.1458
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
0.8638
Per class
Predictive accuracy
0.864
Prior entropy
0.9767
Recall
0.864
Per class
Relative absolute error
0.3012
Root mean prior squared error
0.4918
Root mean squared error
0.3405
Root relative squared error
0.6924
SciMark benchmark
911.3823
UserCPU time millis
440
UserCPU time millis training
440