Run
486362

Run 486362

Task 10069 (Learning Curve) mozilla4 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
0.9543 ± 0.0083
Per class
F measure
0.9451 ± 0.0049
Per class
Kappa
0.8741 ± 0.0114
KB relative information score
12787.8695 ± 15.9645
Mean absolute error
0.0833 ± 0.0043
Mean prior absolute error
0.4412 ± 0.0001
Number of instances
15545
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.9466 ± 0.0044
Per class
Predictive accuracy
0.9458 ± 0.0047
Prior entropy
0.9135
Recall
0.9458 ± 0.0047
Per class
Relative absolute error
0.1888 ± 0.0098
Root mean prior squared error
0.4697 ± 0.0001
Root mean squared error
0.2181 ± 0.0091
Root relative squared error
0.4643 ± 0.0194
SciMark benchmark
867.4247
UserCPU time millis
320
UserCPU time millis testing
20
UserCPU time millis training
300