Run
147257

Run 147257

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 02-02-2015 by Joaquin Vanschoren
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Flow

weka.Bagging_IBk(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_IBk(2)_I40
weka.Bagging_IBk(2)_P100
weka.Bagging_IBk(2)_S1
weka.Bagging_IBk(2)_Wweka.classifiers.lazy.IBk
weka.Bagging_IBk(2)_num-slots1
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.7718
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9663
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5945
Cross-validation details (10-fold Crossvalidation)
KB relative information score
76.5496
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0386
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0837
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
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
0.9667
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.966
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2628
Cross-validation details (10-fold Crossvalidation)
Recall
0.966
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4611
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1624
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8011
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
901.0726
UserCPU time millis
720
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
710
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)