Run
50703

Run 50703

Task 1728 (Learning Curve) credit-approval 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.REPTree(5)Weka implementation of REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
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
0.8712 ± 0.032
Per class
Build CPU time
0.0009
Build memory
243546169.7
F measure
0.8541 ± 0.0321
Per class
Kappa
0.7068 ± 0.0638
KB relative information score
0.5791 ± 0.0542
Mean absolute error
0.2235 ± 0.0273
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8584 ± 0.0331
Per class
Predictive accuracy
0.8536 ± 0.0324
Prior entropy
0.9912 ± 0.0022
Recall
0.8536 ± 0.0324
Per class
Relative absolute error
0.4525 ± 0.0549
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3441 ± 0.0345
Root relative squared error
0.6924 ± 0.0691
SciMark benchmark
1684.583