Run
423040

Run 423040

Task 4406 (Supervised Classification) sleuth_case1102 Uploaded 09-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.3895
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.4007
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-2.1556
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4955
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4935
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
340
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
0.3123
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.5588
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9911
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.5588
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
1.0042
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4965
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4988
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0046
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
941.9549
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)