Run
152126

Run 152126

Task 228 (Supervised Classification) RandomRBF_50_1E-4 Uploaded 09-02-2015 by Joaquin Vanschoren
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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
0.5304 ± 0.0068
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2446 ± 0.0071
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.027 ± 0.0063
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0575 ± 0.0053
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3064 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3093 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2543 ± 0.0045
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2897 ± 0.0042
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2205 ± 0
Cross-validation details (10-fold Crossvalidation)
Recall
0.2897 ± 0.0042
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9907 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3932 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3971 ± 0.0017
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0098 ± 0.0044
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.9494
UserCPU time millis
72010
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
4270
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
67740
Cross-validation details (10-fold Crossvalidation)