DEVELOPMENT... OpenML
Run
10602

Run 10602

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)_I100
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
0.9652
Per class
F measure
0.9137
Per class
Kappa
0.811
KB relative information score
246.5224
Mean absolute error
0.148
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
0.9145
Per class
Predictive accuracy
0.9145
Prior entropy
0.9425
Recall
0.9145
Per class
Relative absolute error
0.3213
Root mean prior squared error
0.4797
Root mean squared error
0.2566
Root relative squared error
0.5349
SciMark benchmark
947.1061[565.39404163109531015.2555353338006483.88543266528814909.27509318503251761.7204843045454]