Run
581383

Run 581383

Task 36 (Supervised Classification) segment Uploaded 06-06-2016 by Jan van Rijn
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Flow

weka.RacedIncrementalLogitBoost_DecisionStump(4)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(4)_C500
weka.RacedIncrementalLogitBoost_DecisionStump(4)_M2000
weka.RacedIncrementalLogitBoost_DecisionStump(4)_V1000
weka.RacedIncrementalLogitBoost_DecisionStump(4)_P1
weka.RacedIncrementalLogitBoost_DecisionStump(4)_S1
weka.RacedIncrementalLogitBoost_DecisionStump(4)_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
0.9793
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8776
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8586
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1836.5957
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.075
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2449
Cross-validation details (10-fold Crossvalidation)
Number of instances
2310
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.8783
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8788
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.8074
Cross-validation details (10-fold Crossvalidation)
Recall
0.8788
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3063
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3499
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1675
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4787
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1298.6603
UserCPU time millis
130
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
120
Cross-validation details (10-fold Crossvalidation)