OpenML
291533

Run 291533

Task 73 (Learning Curve) mfeat-fourier Uploaded 16-03-2015 by Joaquin Vanschoren
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Flow

weka.J48(28)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(28)_C0.25
weka.J48(28)_M2

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
0.8899 ± 0.0176
Per class
F measure
0.7577 ± 0.0292
Per class
Kappa
0.7314 ± 0.0325
KB relative information score
0.7551 ± 0.0305
Mean absolute error
0.0505 ± 0.0055
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7579 ± 0.0291
Per class
Predictive accuracy
0.7583 ± 0.0293
Prior entropy
3.3219
Recall
0.7583 ± 0.0293
Per class
Relative absolute error
0.2807 ± 0.0306
Root mean prior squared error
0.3
Root mean squared error
0.2087 ± 0.0137
Root relative squared error
0.6956 ± 0.0457
SciMark benchmark
1343.5582
UserCPU time millis
350
UserCPU time millis training
350