OpenML
13424

Run 13424

Task 57 (Supervised Classification) ionosphere 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)_I3
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
0.9497
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9336
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8543
Cross-validation details (10-fold Crossvalidation)
KB relative information score
259.9607
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1254
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10-fold Crossvalidation)
Number of instances
351
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
0.9356
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9345
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.9345
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2722
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2578
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5375
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.2435[559.76915123019011015.7907504114269483.449727694041912.75766683510371759.4502550697425]