Run
118

Run 118

Task 71 (Learning Curve) mfeat-factors Uploaded 07-04-2014 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
0.9947 ± 0.0032
Per class
F measure
0.9474 ± 0.0136
Per class
Kappa
0.9416 ± 0.015
KB relative information score
0.8879 ± 0.0104
Mean absolute error
0.036 ± 0.0027
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.9476 ± 0.013
Per class
Predictive accuracy
0.9475 ± 0.0135
Prior entropy
3.3219
Recall
0.9475 ± 0.0135
Per class
Relative absolute error
0.2002 ± 0.0148
Root mean prior squared error
0.3
Root mean squared error
0.1087 ± 0.0062
Root relative squared error
0.3623 ± 0.0208
SciMark benchmark
1938.8095