DEVELOPMENT... OpenML
Run
152122

Run 152122

Task 2072 (Supervised Classification) covertype 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
0.819
Per class
F measure
0.6526
Per class
Kappa
0.4646
KB relative information score
45361.9574
Mean absolute error
0.1277
Mean prior absolute error
0.1853
Number of instances
110393
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.651
Per class
Predictive accuracy
0.667
Prior entropy
1.8698
Recall
0.667
Per class
Relative absolute error
0.689
Root mean prior squared error
0.3044
Root mean squared error
0.2599
Root relative squared error
0.8539
SciMark benchmark
902.4773
UserCPU time millis
17100
UserCPU time millis testing
900
UserCPU time millis training
16200