DEVELOPMENT... OpenML
Run
162164

Run 162164

Task 3800 (Supervised Classification) fri_c3_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)_I10
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
0.7958
Per class
F measure
0.7546
Per class
Kappa
0.5007
KB relative information score
224.1557
Mean absolute error
0.2771
Mean prior absolute error
0.4918
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
0.7705
Per class
Predictive accuracy
0.762
Prior entropy
0.9882
Recall
0.762
Per class
Relative absolute error
0.5633
Root mean prior squared error
0.4959
Root mean squared error
0.451
Root relative squared error
0.9094
SciMark benchmark
938.4278
UserCPU time millis
100
UserCPU time millis training
100