DEVELOPMENT... OpenML
Run
885

Run 885

Task 91 (Learning Curve) pendigits Uploaded 08-04-2014 by Mandy
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Flow

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

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9893 ± 0.0024
Per class
F measure
0.9526 ± 0.0072
Per class
Kappa
0.9473 ± 0.008
KB relative information score
0.9435 ± 0.0073
Mean absolute error
0.0134 ± 0.0015
Mean prior absolute error
0.18 ± 0
Number of instances
109920
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9526 ± 0.0071
Per class
Predictive accuracy
0.9526 ± 0.0072
Prior entropy
3.3208 ± 0.0002
Recall
0.9526 ± 0.0072
Per class
Relative absolute error
0.0744 ± 0.0081
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0921 ± 0.0068
Root relative squared error
0.3069 ± 0.0226
SciMark benchmark
879.1725