Run
292887

Run 292887

Task 81 (Learning Curve) mfeat-zernike 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
0.9159 ± 0.0148
Per class
F measure
0.6866 ± 0.0303
Per class
Kappa
0.6581 ± 0.0333
KB relative information score
0.6888 ± 0.0273
Mean absolute error
0.0747 ± 0.005
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6872 ± 0.0335
Per class
Predictive accuracy
0.6923 ± 0.03
Prior entropy
3.3219
Recall
0.6923 ± 0.03
Per class
Relative absolute error
0.4147 ± 0.0278
Root mean prior squared error
0.3
Root mean squared error
0.2089 ± 0.0104
Root relative squared error
0.6962 ± 0.0345
SciMark benchmark
1325.0379
UserCPU time millis
80
UserCPU time millis training
80