Run
580516

Run 580516

Task 219 (Supervised Classification) electricity Uploaded 06-06-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_RacedIncrementalLogitBoost_DecisionStump(1 )Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_RacedIncrementalLogitBoost_DecisionStump(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_RacedIncrementalLogitBoost_DecisionStump(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_RacedIncrementalLogitBoost_DecisionStump(1)_Wweka.classifiers.meta.RacedIncrementalLogitBoost
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
0.8315
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7574
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5009
Cross-validation details (10-fold Crossvalidation)
KB relative information score
17500.7418
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3113
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4886
Cross-validation details (10-fold Crossvalidation)
Number of instances
45312
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
0.7673
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7636
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.7636
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.637
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4034
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8162
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1332.2469
UserCPU time millis
1070
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
100
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
970
Cross-validation details (10-fold Crossvalidation)