OpenML
292891

Run 292891

Task 83 (Learning Curve) mushroom 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
1 ± 0
Per class
F measure
0.9998 ± 0.0007
Per class
Kappa
0.9997 ± 0.0014
KB relative information score
0.9996 ± 0.0015
Mean absolute error
0.0002 ± 0.0008
Mean prior absolute error
0.4994 ± 0
Number of instances
81240
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9998 ± 0.0007
Per class
Predictive accuracy
0.9998 ± 0.0007
Prior entropy
0.9991 ± 0
Recall
0.9998 ± 0.0007
Per class
Relative absolute error
0.0004 ± 0.0016
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.0113 ± 0.011
Root relative squared error
0.0226 ± 0.022
SciMark benchmark
1352.2566
UserCPU time millis
20
UserCPU time millis training
20