Run
736

Run 736

Task 94 (Learning Curve) dermatology 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
0.9971 ± 0.004
Per class
F measure
0.9569 ± 0.0355
Per class
Kappa
0.9462 ± 0.0425
KB relative information score
0.8837 ± 0.0255
Mean absolute error
0.049 ± 0.0084
Mean prior absolute error
0.2664 ± 0.0004
Number of instances
3660
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9571 ± 0.0303
Per class
Predictive accuracy
0.9571 ± 0.0338
Prior entropy
2.4327 ± 0.0089
Recall
0.9571 ± 0.0338
Per class
Relative absolute error
0.1837 ± 0.0316
Root mean prior squared error
0.3649 ± 0.0006
Root mean squared error
0.1249 ± 0.0184
Root relative squared error
0.3424 ± 0.0506
SciMark benchmark
891.3229