Run
477682

Run 477682

Task 2094 (Learning Curve) adult Uploaded 30-11-2015 by Jan van Rijn
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Flow

weka.J48(33)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(33)_C0.25
weka.J48(33)_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
19851.7797 ± 51.0076
Mean absolute error
0.2092 ± 0.0027
Mean prior absolute error
0.3641 ± 0
Number of instances
48842
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.8453 ± 0.0046
Per class
Predictive accuracy
0.8522 ± 0.0042
Prior entropy
0.7939
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
1712.9154
UserCPU time millis
930
UserCPU time millis testing
10
UserCPU time millis training
920