Run
9466

Run 9466

Task 27 (Supervised Classification) colic 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)_I101
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
0.9042
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8543
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6847
Cross-validation details (10-fold Crossvalidation)
KB relative information score
173.353
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2657
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4662
Cross-validation details (10-fold Crossvalidation)
Number of instances
368
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
0.855
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.856
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.856
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5699
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3376
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6995
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
911.0808[563.56724519425261015.5230404536866484.54051677983614912.43998791392861579.3329730165274]