Run
58888

Run 58888

Task 1731 (Learning Curve) pendigits Uploaded 15-11-2014 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
0.9895 ± 0.0018
Per class
Build CPU time
0.0158
Build memory
2908897626.15
F measure
0.9533 ± 0.0048
Per class
Kappa
0.948 ± 0.0052
KB relative information score
0.9445 ± 0.005
Mean absolute error
0.0131 ± 0.0011
Mean prior absolute error
0.18 ± 0
Number of instances
10992
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9533 ± 0.0048
Per class
Predictive accuracy
0.9532 ± 0.0047
Prior entropy
3.3208 ± 0.0002
Recall
0.9532 ± 0.0047
Per class
Relative absolute error
0.0729 ± 0.0059
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0916 ± 0.0048
Root relative squared error
0.3053 ± 0.0159
SciMark benchmark
1645.4276