DEVELOPMENT... OpenML
Run
802

Run 802

Task 87 (Learning Curve) optdigits Uploaded 08-04-2014 by Mandy
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Flow

weka.RandomTree(1)Weka implementation of RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.9236 ± 0.0091
Per class
F measure
0.8625 ± 0.0164
Per class
Kappa
0.8472 ± 0.0182
KB relative information score
0.8563 ± 0.0171
Mean absolute error
0.0275 ± 0.0033
Mean prior absolute error
0.18 ± 0
Number of instances
56200
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.8625 ± 0.0163
Per class
Predictive accuracy
0.8625 ± 0.0164
Prior entropy
3.3218 ± 0.0001
Recall
0.8625 ± 0.0164
Per class
Relative absolute error
0.1528 ± 0.0182
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.1658 ± 0.01
Root relative squared error
0.5527 ± 0.0333
SciMark benchmark
881.495