Run
1887

Run 1887

Task 116 (Learning Curve) ionosphere Uploaded 23-04-2014 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
0.9724 ± 0.0281
Per class
F measure
0.9284 ± 0.0447
Per class
Kappa
0.8436 ± 0.0976
KB relative information score
0.7445 ± 0.0774
Mean absolute error
0.1264 ± 0.0341
Mean prior absolute error
0.4604 ± 0.0038
Number of instances
3510
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9286 ± 0.043
Per class
Predictive accuracy
0.9288 ± 0.044
Prior entropy
0.9418 ± 0.0113
Recall
0.9288 ± 0.044
Per class
Relative absolute error
0.2745 ± 0.0739
Root mean prior squared error
0.4797 ± 0.004
Root mean squared error
0.2371 ± 0.0515
Root relative squared error
0.4943 ± 0.107
SciMark benchmark
824.486