OpenML
10416

Run 10416

Task 4 (Supervised Classification) labor 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
0.9514
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8746
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7208
Cross-validation details (10-fold Crossvalidation)
KB relative information score
30.9292
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2217
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.457
Cross-validation details (10-fold Crossvalidation)
Number of instances
57
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
0.8776
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8772
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9393
Cross-validation details (10-fold Crossvalidation)
Recall
0.8772
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4851
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4773
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3074
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6441
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.2017[564.29658017915111013.1204302006943483.23216931738307910.22218605324211765.1369023070451]