OpenML
151320

Run 151320

Task 2094 (Learning Curve) adult 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
0.8741 ± 0.0052
Per class
F measure
0.8456 ± 0.0041
Per class
Kappa
0.5612 ± 0.0116
KB relative information score
0.4065 ± 0.0104
Mean absolute error
0.2092 ± 0.0027
Mean prior absolute error
0.3641 ± 0
Number of instances
48842
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8453 ± 0.0046
Per class
Predictive accuracy
0.8522 ± 0.0042
Prior entropy
0.7938 ± 0.0002
Recall
0.8522 ± 0.0042
Per class
Relative absolute error
0.5746 ± 0.0075
Root mean prior squared error
0.4266 ± 0.0001
Root mean squared error
0.3288 ± 0.0032
Root relative squared error
0.7706 ± 0.0076
SciMark benchmark
639.2945
UserCPU time millis
2080
UserCPU time millis testing
50
UserCPU time millis training
2030