Run
504289

Run 504289

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

weka.PART(4)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(4)_C0.25
weka.PART(4)_M2
weka.PART(4)_Q1

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
0.9385 ± 0.0057
Per class
F measure
0.8564 ± 0.0069
Per class
Kappa
0.7061 ± 0.0141
KB relative information score
30048.6187 ± 59.658
Mean absolute error
0.1674 ± 0.0062
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]
Precision
0.8564 ± 0.007
Per class
Predictive accuracy
0.8565 ± 0.0069
Prior entropy
0.9835
Recall
0.8565 ± 0.0069
Per class
Relative absolute error
0.3425 ± 0.0127
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.308 ± 0.0071
Root relative squared error
0.6232 ± 0.0144
SciMark benchmark
914.23
UserCPU time millis
53460
UserCPU time millis testing
490
UserCPU time millis training
52970