OpenML
11041

Run 11041

Task 13 (Supervised Classification) breast-cancer 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
0.6652
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.67
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1799
Cross-validation details (10-fold Crossvalidation)
KB relative information score
30.586
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3586
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4183
Cross-validation details (10-fold Crossvalidation)
Number of instances
286
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
0.6638
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6923
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8796
Cross-validation details (10-fold Crossvalidation)
Recall
0.6923
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8572
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.457
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4528
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9907
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
949.5694[568.52692162335691015.7907504114269483.6674820550281912.43998791392861767.4218398162996]