DEVELOPMENT... OpenML
Run
151951

Run 151951

Task 16 (Supervised Classification) mfeat-karhunen Uploaded 09-02-2015 by Felicia West
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Flow

weka.RacedIncrementalLogitBoost_DecisionStump(2)Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark Hall: Racing committees for large datasets. In: Proceedings of the 5th International Conferenceon Discovery Science, 153-164, 2002.
weka.RacedIncrementalLogitBoost_DecisionStump(2)_C500
weka.RacedIncrementalLogitBoost_DecisionStump(2)_M2000
weka.RacedIncrementalLogitBoost_DecisionStump(2)_V1000
weka.RacedIncrementalLogitBoost_DecisionStump(2)_P1
weka.RacedIncrementalLogitBoost_DecisionStump(2)_S1
weka.RacedIncrementalLogitBoost_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
0.8501
Per class
F measure
0.4608
Per class
Kappa
0.4117
KB relative information score
893.2513
Mean absolute error
0.1297
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4926
Per class
Predictive accuracy
0.4705
Prior entropy
3.3219
Recall
0.4705
Per class
Relative absolute error
0.7203
Root mean prior squared error
0.3
Root mean squared error
0.255
Root relative squared error
0.85
SciMark benchmark
938.9865
UserCPU time millis
320
UserCPU time millis testing
10
UserCPU time millis training
310