Run
477912

Run 477912

Task 10068 (Learning Curve) mc1 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)_M1

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
0.7325 ± 0.176
Per class
F measure
0.9923 ± 0.0027
Per class
Kappa
0.3724 ± 0.234
KB relative information score
-7873.632 ± 504.7537
Mean absolute error
0.0104 ± 0.002
Mean prior absolute error
0.0144 ± 0.0004
Number of instances
9466
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.9922 ± 0.0038
Per class
Predictive accuracy
0.9937 ± 0.0022
Prior entropy
0.0622
Recall
0.9937 ± 0.0022
Per class
Relative absolute error
0.7211 ± 0.1252
Root mean prior squared error
0.0845 ± 0.0027
Root mean squared error
0.0789 ± 0.0128
Root relative squared error
0.9342 ± 0.1407
SciMark benchmark
1801.8585
UserCPU time millis
320
UserCPU time millis training
320