DEVELOPMENT... OpenML
Run
11770

Run 11770

Task 57 (Supervised Classification) ionosphere Uploaded 22-05-2014 by Felicia West
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Flow

weka.Bagging_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I30
weka.Bagging_REPTree(1)_P100
weka.Bagging_REPTree(1)_S1
weka.Bagging_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(1)_num-slots1
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.9657
Per class
F measure
0.9194
Per class
Kappa
0.8236
KB relative information score
246.0793
Mean absolute error
0.1486
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9203
Per class
Predictive accuracy
0.9202
Prior entropy
0.9425
Recall
0.9202
Per class
Relative absolute error
0.3227
Root mean prior squared error
0.4797
Root mean squared error
0.2559
Root relative squared error
0.5335
SciMark benchmark
940.4396[564.6619124438491015.5230404536866441.3242027452037912.12245438067161768.5665966389256]