Run
50657

Run 50657

Task 1710 (Learning Curve) balance-scale Uploaded 06-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.RandomTree(2)Weka implementation of RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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.

21 Evaluation measures

Area under ROC curve
0.8398 ± 0.0263
Per class
Build CPU time
0.0008
Build memory
1137109172.1
F measure
0.7953 ± 0.0295
Per class
Kappa
0.6234 ± 0.0496
KB relative information score
0.5611 ± 0.0471
Mean absolute error
0.1461 ± 0.0202
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8104 ± 0.0342
Per class
Predictive accuracy
0.7808 ± 0.0304
Prior entropy
1.3181 ± 0.0124
Recall
0.7808 ± 0.0304
Per class
Relative absolute error
0.3848 ± 0.0529
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3823 ± 0.0257
Root relative squared error
0.8776 ± 0.0582
SciMark benchmark
1633.1623