Run
503369

Run 503369

Task 1764 (Learning Curve) electricity Uploaded 28-12-2015 by Jan van Rijn
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Flow

weka.Bagging_DecisionStump(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_DecisionStump(3)_P100
weka.Bagging_DecisionStump(3)_S1
weka.Bagging_DecisionStump(3)_num-slots1
weka.Bagging_DecisionStump(3)_I10
weka.Bagging_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
0.7331 ± 0.005
Per class
F measure
0.7486 ± 0.005
Per class
Kappa
0.484 ± 0.01
KB relative information score
13178.006 ± 22.4548
Mean absolute error
0.366 ± 0.002
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.7651 ± 0.0037
Per class
Predictive accuracy
0.7574 ± 0.0042
Prior entropy
0.9835
Recall
0.7574 ± 0.0042
Per class
Relative absolute error
0.749 ± 0.0041
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.427 ± 0.0024
Root relative squared error
0.864 ± 0.0049
SciMark benchmark
1318.454
UserCPU time millis
610
UserCPU time millis testing
20
UserCPU time millis training
590