OpenML
292893

Run 292893

Task 90 (Learning Curve) credit-g 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
0.712 ± 0.0603
Per class
F measure
0.704 ± 0.0425
Per class
Kappa
0.2693 ± 0.1059
KB relative information score
0.1672 ± 0.0712
Mean absolute error
0.3415 ± 0.025
Mean prior absolute error
0.4202
Number of instances
10000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7022 ± 0.0471
Per class
Predictive accuracy
0.7233 ± 0.0393
Prior entropy
0.8813
Recall
0.7233 ± 0.0393
Per class
Relative absolute error
0.8128 ± 0.0596
Root mean prior squared error
0.4583
Root mean squared error
0.4431 ± 0.028
Root relative squared error
0.967 ± 0.0611
SciMark benchmark
1342.2505
UserCPU time millis
10
UserCPU time millis training
10