OpenML
2853

Run 2853

Task 65 (Learning Curve) arrhythmia Uploaded 28-04-2014 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.

17 Evaluation measures

Area under ROC curve
0.8168 ± 0.0458
Per class
Kappa
0.3888 ± 0.0912
KB relative information score
0.3909 ± 0.048
Mean absolute error
0.0633 ± 0.0038
Mean prior absolute error
0.0855 ± 0.0007
Number of instances
4520
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Predictive accuracy
0.6591 ± 0.0444
Prior entropy
2.4124 ± 0.056
Recall
0.6591 ± 0.0444
Per class
Relative absolute error
0.7403 ± 0.0433
Root mean prior squared error
0.2055 ± 0.0018
Root mean squared error
0.1773 ± 0.0077
Root relative squared error
0.8626 ± 0.037
SciMark benchmark
856.9778