Run
24198

Run 24198

Task 9 (Supervised Classification) autos Uploaded 01-07-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_J48(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(1)_I160
weka.Bagging_J48(1)_P100
weka.Bagging_J48(1)_S1
weka.Bagging_J48(1)_Wweka.classifiers.trees.J48
weka.Bagging_J48(1)_num-slots1
weka.J48(1)_C0.25
weka.J48(1)_M2

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
0.9648
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8202
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7638
Cross-validation details (10-fold Crossvalidation)
KB relative information score
142.7741
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0899
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2209
Cross-validation details (10-fold Crossvalidation)
Number of instances
205
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
0.8331
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8195
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3268
Cross-validation details (10-fold Crossvalidation)
Recall
0.8195
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4071
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3318
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1905
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5741
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
895.6362[533.080868076384962.0344422444904458.081009772975861.46566374894451663.5191428647508]
Total cost