Run
20055

Run 20055

Task 27 (Supervised Classification) colic Uploaded 18-06-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_RandomForest(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(1)_I40
weka.Bagging_RandomForest(1)_P100
weka.Bagging_RandomForest(1)_S1
weka.Bagging_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(1)_num-slots1
weka.RandomForest(1)_I10
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.

17 Evaluation measures

Area under ROC curve
0.9031
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8453
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6642
Cross-validation details (10-fold Crossvalidation)
KB relative information score
168.4667
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2722
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)
Precision
0.8472
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8478
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9509
Cross-validation details (10-fold Crossvalidation)
Recall
0.8478
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.584
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4827
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3415
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7074
Cross-validation details (10-fold Crossvalidation)