Run
477697

Run 477697

Task 10041 (Learning Curve) ada_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)_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
0.8345 ± 0.031
Per class
F measure
0.8298 ± 0.0123
Per class
Kappa
0.5312 ± 0.0354
KB relative information score
1915.5292 ± 12.7288
Mean absolute error
0.209 ± 0.0082
Mean prior absolute error
0.3732 ± 0.0004
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.8282 ± 0.0143
Per class
Predictive accuracy
0.8354 ± 0.0123
Prior entropy
0.8085
Recall
0.8354 ± 0.0123
Per class
Relative absolute error
0.56 ± 0.0221
Root mean prior squared error
0.4319 ± 0.0005
Root mean squared error
0.3595 ± 0.0123
Root relative squared error
0.8323 ± 0.0284
SciMark benchmark
1694.1814
UserCPU time millis
750
UserCPU time millis training
750