Run
158920

Run 158920

Task 1764 (Learning Curve) electricity Uploaded 12-02-2015 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.ADTree(3)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(3)_B10
weka.ADTree(3)_E-3
weka.ADTree(3)_S1

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
0.8596 ± 0.0087
Per class
F measure
0.7863 ± 0.0109
Per class
Kappa
0.5604 ± 0.0232
KB relative information score
0.2811 ± 0.0093
Mean absolute error
0.3696 ± 0.0038
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7883 ± 0.0088
Per class
Predictive accuracy
0.7886 ± 0.0095
Prior entropy
0.9835 ± 0
Recall
0.7886 ± 0.0095
Per class
Relative absolute error
0.7565 ± 0.0078
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.4042 ± 0.0038
Root relative squared error
0.8177 ± 0.0076
SciMark benchmark
646.4525
UserCPU time millis
4150
UserCPU time millis testing
50
UserCPU time millis training
4100