Run
423212

Run 423212

Task 4570 (Supervised Classification) ipums_la_98-small Uploaded 09-05-2015 by Joaquin Vanschoren
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Flow

weka.RacedIncrementalLogitBoost_DecisionStump(3)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(3)_C500
weka.RacedIncrementalLogitBoost_DecisionStump(3)_M2000
weka.RacedIncrementalLogitBoost_DecisionStump(3)_V1000
weka.RacedIncrementalLogitBoost_DecisionStump(3)_P1
weka.RacedIncrementalLogitBoost_DecisionStump(3)_S1
weka.RacedIncrementalLogitBoost_DecisionStump(3)_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
0.83
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8461
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.0141
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-24071.2519
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1652
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1891
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
74850
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8429
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8938
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.4871
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8938
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8736
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3074
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2855
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9288
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
941.9549
UserCPU time millis
210
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
200
Cross-validation details (10 times 10-fold Crossvalidation)