Run
444647

Run 444647

Task 1943 (Supervised Classification) electricity Uploaded 18-05-2015 by Joaquin Vanschoren
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Flow

weka.Bagging_REPTree(8)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.REPTree(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0
weka.Bagging_REPTree(8)_P100
weka.Bagging_REPTree(8)_S1
weka.Bagging_REPTree(8)_num-slots1
weka.Bagging_REPTree(8)_I10
weka.Bagging_REPTree(8)_Wweka.classifiers.trees.REPTree

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
0.9658
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9051
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8056
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
316934.1926
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1585
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4886
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
453120
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
0.9051
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9052
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9052
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3243
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4943
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2659
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.5379
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
933.3455
UserCPU time millis
4850
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
120
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
4730
Cross-validation details (10 times 10-fold Crossvalidation)