Run
454811

Run 454811

Task 2097 (Learning Curve) satimage Uploaded 18-06-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.FilteredClassifier_Discretize_J48(4)Weka implementation of FilteredClassifier
weka.J48(28)_C0.25
weka.J48(28)_M2
weka.FilteredClassifier_Discretize_J48(4)_Fweka.filters.supervised.attribute.Discretize
weka.FilteredClassifier_Discretize_J48(4)_Wweka.classifiers.trees.J48
weka.Discretize(3)_Rfirst-last
weka.Discretize(3)_precision6

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
0.9392 ± 0.0084
Per class
F measure
0.8417 ± 0.0073
Per class
Kappa
0.8083 ± 0.009
KB relative information score
0.7964 ± 0.0087
Mean absolute error
0.0648 ± 0.0024
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8407 ± 0.0074
Per class
Predictive accuracy
0.8453 ± 0.0073
Prior entropy
2.4834 ± 0.0009
Recall
0.8453 ± 0.0073
Per class
Relative absolute error
0.24 ± 0.0089
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.2084 ± 0.0059
Root relative squared error
0.5672 ± 0.0161
SciMark benchmark
940.9619
UserCPU time millis
200
UserCPU time millis testing
20
UserCPU time millis training
180