Run
291532

Run 291532

Task 79 (Learning Curve) mfeat-pixel 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
0.9141 ± 0.013
Per class
F measure
0.7921 ± 0.0261
Per class
Kappa
0.7682 ± 0.029
KB relative information score
0.786 ± 0.0242
Mean absolute error
0.0462 ± 0.0047
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
0.7941 ± 0.0255
Per class
Predictive accuracy
0.7914 ± 0.0261
Prior entropy
3.3219
Recall
0.7914 ± 0.0261
Per class
Relative absolute error
0.2568 ± 0.0264
Root mean prior squared error
0.3
Root mean squared error
0.1857 ± 0.0114
Root relative squared error
0.6191 ± 0.0381
SciMark benchmark
1328.1294
UserCPU time millis
120
UserCPU time millis testing
10
UserCPU time millis training
110