Run
477652

Run 477652

Task 1714 (Learning Curve) breast-w 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
0.9507 ± 0.0256
Per class
F measure
0.9473 ± 0.0246
Per class
Kappa
0.8841 ± 0.0527
KB relative information score
596.1464 ± 3.849
Mean absolute error
0.0683 ± 0.0228
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.9481 ± 0.0215
Per class
Predictive accuracy
0.9471 ± 0.0253
Prior entropy
0.9297
Recall
0.9471 ± 0.0253
Per class
Relative absolute error
0.1511 ± 0.0506
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.2215 ± 0.0508
Root relative squared error
0.4659 ± 0.107
SciMark benchmark
1801.8585