Run
2837

Run 2837

Task 1740 (Learning Curve) soybean 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.

19 Evaluation measures

Area under ROC curve
0.993 ± 0.0058
Per class
F measure
0.9205 ± 0.0198
Per class
Kappa
0.9132 ± 0.0303
KB relative information score
0.8763 ± 0.0123
Mean absolute error
0.0235 ± 0.0016
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9274 ± 0.0163
Per class
Predictive accuracy
0.9209 ± 0.0275
Prior entropy
3.8358 ± 0.0227
Recall
0.9209 ± 0.0275
Per class
Relative absolute error
0.2446 ± 0.0169
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.0917 ± 0.0068
Root relative squared error
0.4187 ± 0.0312
SciMark benchmark
867.4852