OpenML
14831

Run 14831

Task 1711 (Learning Curve) mfeat-factors Uploaded 03-06-2014 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
0.9948 ± 0.0044
Per class
F measure
0.9459 ± 0.0211
Per class
Kappa
0.94 ± 0.0234
KB relative information score
0.888 ± 0.015
Mean absolute error
0.0358 ± 0.0034
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9463 ± 0.0198
Per class
Predictive accuracy
0.946 ± 0.0211
Prior entropy
3.3219
Recall
0.946 ± 0.0211
Per class
Relative absolute error
0.1991 ± 0.0187
Root mean prior squared error
0.3
Root mean squared error
0.1085 ± 0.0091
Root relative squared error
0.3615 ± 0.0302
SciMark benchmark
875.5926