OpenML
8669

Run 8669

Task 31 (Supervised Classification) credit-g 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)_I11
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
0.7365
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7176
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3017
Cross-validation details (10-fold Crossvalidation)
KB relative information score
162.4649
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3445
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
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
0.7191
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.738
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.738
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8198
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.425
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9275
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
948.7794[560.12868580782781015.7907504114269484.10363182779514915.30731255462021768.5664600912808]