Run
292898

Run 292898

Task 89 (Learning Curve) page-blocks Uploaded 17-03-2015 by Joaquin Vanschoren
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Flow

weka.REPTree(9)Weka implementation of REPTree
weka.REPTree(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0

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
0.9692 ± 0.0222
Per class
F measure
0.9677 ± 0.0066
Per class
Kappa
0.8299 ± 0.0348
KB relative information score
0.7446 ± 0.0456
Mean absolute error
0.0186 ± 0.0025
Mean prior absolute error
0.0762 ± 0.0003
Number of instances
54730
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9673 ± 0.0062
Per class
Predictive accuracy
0.9683 ± 0.0066
Prior entropy
0.6355 ± 0.0053
Recall
0.9683 ± 0.0066
Per class
Relative absolute error
0.2436 ± 0.0331
Root mean prior squared error
0.1948 ± 0.0007
Root mean squared error
0.1041 ± 0.0098
Root relative squared error
0.5342 ± 0.0506
SciMark benchmark
1345.848
UserCPU time millis
40
UserCPU time millis training
40