Run
918

Run 918

Task 88 (Learning Curve) credit-approval Uploaded 08-04-2014 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
0.912 ± 0.0336
Per class
F measure
0.8486 ± 0.0422
Per class
Kappa
0.6937 ± 0.0848
KB relative information score
0.5736 ± 0.0523
Mean absolute error
0.2229 ± 0.0243
Mean prior absolute error
0.494 ± 0.0007
Number of instances
6900
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.8487 ± 0.0415
Per class
Predictive accuracy
0.8486 ± 0.0421
Prior entropy
0.9912 ± 0.0021
Recall
0.8486 ± 0.0421
Per class
Relative absolute error
0.4512 ± 0.0492
Root mean prior squared error
0.497 ± 0.0007
Root mean squared error
0.3367 ± 0.0332
Root relative squared error
0.6776 ± 0.0668
SciMark benchmark
890.2971