Run
477858

Run 477858

Task 10050 (Learning Curve) gina_agnostic 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
0.8409 ± 0.0301
Per class
F measure
0.8726 ± 0.023
Per class
Kappa
0.745 ± 0.0459
KB relative information score
2556.4158 ± 15.6715
Mean absolute error
0.1329 ± 0.0224
Mean prior absolute error
0.4999 ± 0
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.8726 ± 0.0225
Per class
Predictive accuracy
0.8725 ± 0.023
Prior entropy
0.9998
Recall
0.8725 ± 0.023
Per class
Relative absolute error
0.2658 ± 0.0448
Root mean prior squared error
0.4999 ± 0
Root mean squared error
0.3553 ± 0.0332
Root relative squared error
0.7108 ± 0.0664
SciMark benchmark
1692.1465
UserCPU time millis
6030
UserCPU time millis testing
10
UserCPU time millis training
6020