DEVELOPMENT... OpenML
Run
163151

Run 163151

Task 137 (Supervised Classification) BNG(autos,nominal,1000000) 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
0.6996
Per class
F measure
0.3286
Per class
Kappa
0.2132
KB relative information score
235437.2197
Mean absolute error
0.1957
Mean prior absolute error
0.221
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
0.2601
Per class
Predictive accuracy
0.4463
Prior entropy
2.3035
Recall
0.4463
Per class
Relative absolute error
0.8855
Root mean prior squared error
0.3324
Root mean squared error
0.3128
Root relative squared error
0.941
SciMark benchmark
876.8277
UserCPU time millis
3450
UserCPU time millis testing
780
UserCPU time millis training
2670