Run
22487

Run 22487

Task 29 (Supervised Classification) credit-approval Uploaded 22-06-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_IBk(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_IBk(1)_I10
weka.Bagging_IBk(1)_P100
weka.Bagging_IBk(1)_S1
weka.Bagging_IBk(1)_Wweka.classifiers.lazy.IBk
weka.Bagging_IBk(1)_num-slots1
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0

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
0.889
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8216
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6385
Cross-validation details (10-fold Crossvalidation)
KB relative information score
423.0518
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1927
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
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
0.8215
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8217
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8217
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.39
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.371
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7465
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.8596[559.05150768537421015.2555353338006483.6674820550281912.43998791392861758.8835103978397]