DEVELOPMENT... OpenML
Run
162533

Run 162533

Task 2263 (Supervised Classification) BNG(vehicle) 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
0.6355
Per class
F measure
0.2445
Per class
Kappa
0.1799
KB relative information score
159525.7516
Mean absolute error
0.3482
Mean prior absolute error
0.3748
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1848
Per class
Predictive accuracy
0.3779
Prior entropy
1.9991
Recall
0.3779
Per class
Relative absolute error
0.9289
Root mean prior squared error
0.4329
Root mean squared error
0.4173
Root relative squared error
0.9638
SciMark benchmark
922.9039
UserCPU time millis
24880
UserCPU time millis testing
640
UserCPU time millis training
24240