Run
477779

Run 477779

Task 10047 (Learning Curve) Bioresponse 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
0.7352 ± 0.0281
Per class
F measure
0.7364 ± 0.019
Per class
Kappa
0.4683 ± 0.0383
KB relative information score
1702.4228 ± 14.4937
Mean absolute error
0.273 ± 0.0193
Mean prior absolute error
0.4964 ± 0.0001
Number of instances
3751
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.7364 ± 0.0189
Per class
Predictive accuracy
0.7369 ± 0.0189
Prior entropy
0.9948
Recall
0.7369 ± 0.0189
Per class
Relative absolute error
0.5498 ± 0.039
Root mean prior squared error
0.4982 ± 0.0001
Root mean squared error
0.4951 ± 0.0176
Root relative squared error
0.9938 ± 0.0355
SciMark benchmark
1757.5001
UserCPU time millis
25040
UserCPU time millis testing
20
UserCPU time millis training
25020