Run
477904

Run 477904

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)_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
0.7106 ± 0.0288
Per class
F measure
0.7368 ± 0.0232
Per class
Kappa
0.4693 ± 0.0469
KB relative information score
1707.1328 ± 17.6449
Mean absolute error
0.272 ± 0.0233
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
0.7367 ± 0.0231
Per class
Predictive accuracy
0.7371 ± 0.0231
Prior entropy
0.9948
Recall
0.7371 ± 0.0231
Per class
Relative absolute error
0.5479 ± 0.047
Root mean prior squared error
0.4982 ± 0.0001
Root mean squared error
0.5066 ± 0.0227
Root relative squared error
1.0168 ± 0.0457
SciMark benchmark
1801.8585
UserCPU time millis
24690
UserCPU time millis testing
10
UserCPU time millis training
24680