DEVELOPMENT... OpenML
Run
152283

Run 152283

Task 2256 (Supervised Classification) BNG(pendigits) Uploaded 10-02-2015 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9761
Per class
F measure
0.8082
Per class
Kappa
0.7872
KB relative information score
799932.5239
Mean absolute error
0.049
Mean prior absolute error
0.18
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
0.8081
Per class
Predictive accuracy
0.8085
Prior entropy
3.3207
Recall
0.8085
Per class
Relative absolute error
0.272
Root mean prior squared error
0.3
Root mean squared error
0.1671
Root relative squared error
0.5572
SciMark benchmark
947.9494
UserCPU time millis
276280
UserCPU time millis testing
25840
UserCPU time millis training
250440