DEVELOPMENT... OpenML
Run
21985

Run 21985

Task 57 (Supervised Classification) ionosphere Uploaded 21-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_REPTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_REPTree(1)_C3
weka.MultiBoostAB_REPTree(1)_I20
weka.MultiBoostAB_REPTree(1)_P100
weka.MultiBoostAB_REPTree(1)_S1
weka.MultiBoostAB_REPTree(1)_Wweka.classifiers.trees.REPTree
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
0.954
Per class
F measure
0.9311
Per class
Kappa
0.8493
KB relative information score
296.1068
Mean absolute error
0.0694
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
0.9316
Per class
Predictive accuracy
0.9316
Prior entropy
0.9425
Recall
0.9316
Per class
Relative absolute error
0.1508
Root mean prior squared error
0.4797
Root mean squared error
0.2511
Root relative squared error
0.5234
SciMark benchmark
915.8901[550.2336271358062966.8615045126586473.2225260256645883.5321851227451705.6007180653555]