OpenML
151297

Run 151297

Task 1720 (Learning Curve) car Uploaded 09-02-2015 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.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
0.9772 ± 0.0113
Per class
F measure
0.9226 ± 0.0211
Per class
Kappa
0.8319 ± 0.0451
KB relative information score
0.8362 ± 0.0469
Mean absolute error
0.0417 ± 0.0104
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9233 ± 0.0206
Per class
Predictive accuracy
0.9225 ± 0.0205
Prior entropy
1.2058 ± 0.0093
Recall
0.9225 ± 0.0205
Per class
Relative absolute error
0.1823 ± 0.0453
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.1698 ± 0.0211
Root relative squared error
0.5021 ± 0.0617
SciMark benchmark
639.2945
UserCPU time millis
10
UserCPU time millis training
10