DEVELOPMENT... OpenML
Run
163607

Run 163607

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)_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
0.888
Per class
F measure
0.811
Per class
Kappa
0.6145
KB relative information score
293.7487
Mean absolute error
0.2056
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
0.8117
Per class
Predictive accuracy
0.812
Prior entropy
0.9882
Recall
0.812
Per class
Relative absolute error
0.418
Root mean prior squared error
0.4959
Root mean squared error
0.3812
Root relative squared error
0.7688
SciMark benchmark
942.1229
UserCPU time millis
380
UserCPU time millis training
380