Run
16696

Run 16696

Task 57 (Supervised Classification) ionosphere Uploaded 04-06-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_LMT(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LMT(1)_I20
weka.Bagging_LMT(1)_P100
weka.Bagging_LMT(1)_S1
weka.Bagging_LMT(1)_Wweka.classifiers.trees.LMT
weka.Bagging_LMT(1)_num-slots1
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0

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
0.9754
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9155
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8136
Cross-validation details (10-fold Crossvalidation)
KB relative information score
272.2197
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1066
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10-fold Crossvalidation)
Number of instances
351
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
0.9212
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9174
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.9174
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2316
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2388
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4978
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
940.4599[560.84905630822271012.3220633477529475.31735608978465903.94479785969181749.8664669073971]