Run
486359

Run 486359

Task 10055 (Learning Curve) kc1 Uploaded 02-12-2015 by Joaquin Vanschoren
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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)_C0.3
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
0.7072 ± 0.0564
Per class
F measure
0.8289 ± 0.0167
Per class
Kappa
0.3023 ± 0.0668
KB relative information score
269.1103 ± 19.3492
Mean absolute error
0.197 ± 0.0149
Mean prior absolute error
0.2616 ± 0.0016
Number of instances
2109
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.8218 ± 0.0188
Per class
Predictive accuracy
0.8421 ± 0.0168
Prior entropy
0.622
Recall
0.8421 ± 0.0168
Per class
Relative absolute error
0.7533 ± 0.0556
Root mean prior squared error
0.3615 ± 0.0023
Root mean squared error
0.3642 ± 0.013
Root relative squared error
1.0076 ± 0.0354
SciMark benchmark
867.4247
UserCPU time millis
90
UserCPU time millis training
90