OpenML
10427

Run 10427

Task 30 (Supervised Classification) page-blocks 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)_I33
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
0.9887
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9746
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8661
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4349.5649
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0156
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0762
Cross-validation details (10-fold Crossvalidation)
Number of instances
5473
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
0.9745
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9752
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6391
Cross-validation details (10-fold Crossvalidation)
Recall
0.9752
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2046
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1949
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0885
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4539
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
948.6092[569.82704281249481016.0585376856843483.88543266528814912.12245438067161761.1524117823017]