Run
46574

Run 46574

Task 1701 (Learning Curve) anneal Uploaded 03-11-2014 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.REPTree(5)Weka implementation of REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M1
weka.REPTree(5)_N3
weka.REPTree(5)_Ptrue
weka.REPTree(5)_S1
weka.REPTree(5)_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
0.9608 ± 0.0349
Per class
Build CPU time
0.0069
Build memory
129240497.7778
F measure
0.9443 ± 0.0296
Per class
Kappa
0.8621 ± 0.06
KB relative information score
0.8413 ± 0.0548
Mean absolute error
0.0249 ± 0.0073
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9451 ± 0.0306
Per class
Predictive accuracy
0.9443 ± 0.0234
Prior entropy
1.1915 ± 0.026
Recall
0.9443 ± 0.0234
Per class
Relative absolute error
0.185 ± 0.0547
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.1231 ± 0.0266
Root relative squared error
0.4769 ± 0.1036
SciMark benchmark
1736.8514