DEVELOPMENT... OpenML
Run
164396

Run 164396

Task 3857 (Supervised Classification) vehicle Uploaded 17-02-2015 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)_I80
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
0.9882
Per class
F measure
0.9576
Per class
Kappa
0.8898
KB relative information score
738.6322
Mean absolute error
0.0439
Mean prior absolute error
0.3828
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9579
Per class
Predictive accuracy
0.9574
Prior entropy
0.8241
Recall
0.9574
Per class
Relative absolute error
0.1146
Root mean prior squared error
0.4374
Root mean squared error
0.1859
Root relative squared error
0.4251
SciMark benchmark
938.2848
UserCPU time millis
280
UserCPU time millis testing
10
UserCPU time millis training
270