Run
477728

Run 477728

Task 10065 (Learning Curve) letter-challenge-labeled.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
0.945 ± 0.0073
Per class
F measure
0.95 ± 0.0044
Per class
Kappa
0.874 ± 0.0112
KB relative information score
16924.3294 ± 26.005
Mean absolute error
0.059 ± 0.0048
Mean prior absolute error
0.3968 ± 0.0001
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.95 ± 0.0044
Per class
Predictive accuracy
0.9501 ± 0.0044
Prior entropy
0.8456
Recall
0.9501 ± 0.0044
Per class
Relative absolute error
0.1486 ± 0.0121
Root mean prior squared error
0.4454 ± 0.0001
Root mean squared error
0.2142 ± 0.0096
Root relative squared error
0.481 ± 0.0215
SciMark benchmark
1712.9154
UserCPU time millis
710
UserCPU time millis testing
10
UserCPU time millis training
700