Run
477726

Run 477726

Task 10066 (Learning Curve) letter-challenge-unlabeled.arff 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
0.7388 ± 0.0094
Per class
F measure
0.9381 ± 0.0044
Per class
Kappa
0.845 ± 0.0113
KB relative information score
8112.1602 ± 14.3358
Mean absolute error
0.073 ± 0.0047
Mean prior absolute error
0.3997 ± 0.0027
Number of instances
10000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.9381 ± 0.0044
Per class
Predictive accuracy
0.9381 ± 0.0043
Prior entropy
0.85
Recall
0.9381 ± 0.0043
Per class
Relative absolute error
0.1827 ± 0.0118
Root mean prior squared error
0.447 ± 0.0031
Root mean squared error
0.2364 ± 0.01
Root relative squared error
0.5289 ± 0.0236
SciMark benchmark
1658.7981
UserCPU time millis
440
UserCPU time millis testing
10
UserCPU time millis training
430