OpenML
5955

Run 5955

Task 1728 (Learning Curve) credit-approval Uploaded 09-05-2014 by Jan van Rijn
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Flow

weka.RandomForest(1)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

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
0.9065 ± 0.0492
Per class
F measure
0.8552 ± 0.0564
Per class
Kappa
0.7072 ± 0.1123
KB relative information score
0.5736 ± 0.0795
Mean absolute error
0.2243 ± 0.0372
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.8555 ± 0.0537
Per class
Predictive accuracy
0.8551 ± 0.0563
Prior entropy
0.9912 ± 0.0022
Recall
0.8551 ± 0.0563
Per class
Relative absolute error
0.4541 ± 0.0756
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3382 ± 0.0484
Root relative squared error
0.6806 ± 0.0975
SciMark benchmark
869.2311