OpenML
5929

Run 5929

Task 1752 (Learning Curve) vehicle Uploaded 07-05-2014 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
0.916 ± 0.0186
Per class
F measure
0.7458 ± 0.0396
Per class
Kappa
0.6658 ± 0.0488
KB relative information score
0.6595 ± 0.0307
Mean absolute error
0.1573 ± 0.0121
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.7431 ± 0.042
Per class
Predictive accuracy
0.7494 ± 0.0365
Prior entropy
1.9991 ± 0.0005
Recall
0.7494 ± 0.0365
Per class
Relative absolute error
0.4197 ± 0.0323
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.2854 ± 0.0173
Root relative squared error
0.6592 ± 0.04
SciMark benchmark
870.4863