OpenML
14751

Run 14751

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 23-05-2014 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
0.4463
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5654
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.1
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-2.6158
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2795
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2871
Cross-validation details (10-fold Crossvalidation)
Number of instances
90
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
0.5213
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6333
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.0305
Cross-validation details (10-fold Crossvalidation)
Recall
0.6333
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9737
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3755
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.153
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
907.5425[558.8723522008845817.545573185693484.54051677983614912.75766683510371763.996579689319]