Run
504036

Run 504036

Task 1764 (Learning Curve) electricity Uploaded 30-12-2015 by Joaquin Vanschoren
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Flow

weka.CostSensitiveClassifier_Bagging_J48(1)Weka implementation of CostSensitiveClassifier
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.CostSensitiveClassifier_Bagging_J48(1)_cost-matrix[0.0 1.0; 500.0 0.0]
weka.CostSensitiveClassifier_Bagging_J48(1)_S1
weka.CostSensitiveClassifier_Bagging_J48(1)_Wweka.classifiers.meta.Bagging
weka.Bagging_J48(6)_P100
weka.Bagging_J48(6)_S1
weka.Bagging_J48(6)_num-slots1
weka.Bagging_J48(6)_I10
weka.Bagging_J48(6)_Wweka.classifiers.trees.J48

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.

20 Evaluation measures

Area under ROC curve
0.5416 ± 0.0498
Per class
KB relative information score
5541.5057 ± 2.8711
Mean absolute error
0.4246 ± 0.0004
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.5755 ± 0.0001
Prior entropy
0.9835
Recall
0.5755 ± 0.0001
Per class
Relative absolute error
0.8689 ± 0.0008
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.6504 ± 0.0006
Root relative squared error
1.3158 ± 0.0012
SciMark benchmark
903.7858
UserCPU time millis
3610
UserCPU time millis testing
50
UserCPU time millis training
3560