Run
8816

Run 8816

Task 11 (Supervised Classification) balance-scale Uploaded 22-05-2014 by Joaquin Vanschoren
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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
0.9343
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8221
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6837
Cross-validation details (10-fold Crossvalidation)
KB relative information score
369.8555
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1424
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3798
Cross-validation details (10-fold Crossvalidation)
Number of instances
625
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8253
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8192
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3212
Cross-validation details (10-fold Crossvalidation)
Recall
0.8192
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.375
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4356
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2897
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6651
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.8731[563.74938041721711014.4538012229739480.85168147774846911.17132945493631769.1393263693276]