DEVELOPMENT... OpenML
Run
164392

Run 164392

Task 3854 (Supervised Classification) car 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
0.9753
Per class
F measure
0.9146
Per class
Kappa
0.8028
KB relative information score
1307.1008
Mean absolute error
0.0979
Mean prior absolute error
0.4199
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9232
Per class
Predictive accuracy
0.9126
Prior entropy
0.8813
Recall
0.9126
Per class
Relative absolute error
0.2332
Root mean prior squared error
0.4582
Root mean squared error
0.2486
Root relative squared error
0.5425
SciMark benchmark
938.2848
UserCPU time millis
120
UserCPU time millis testing
10
UserCPU time millis training
110

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