DEVELOPMENT... OpenML
Run
24257

Run 24257

Task 57 (Supervised Classification) ionosphere Uploaded 03-07-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I20
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.8705
Per class
F measure
0.8829
Per class
Kappa
0.7449
KB relative information score
258.6082
Mean absolute error
0.1168
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
0.8827
Per class
Predictive accuracy
0.8832
Prior entropy
0.9425
Recall
0.8832
Per class
Relative absolute error
0.2537
Root mean prior squared error
0.4797
Root mean squared error
0.3418
Root relative squared error
0.7125
SciMark benchmark
595.4433[343.76044870592193899.1857719032125242.92801028643973525.7601219234152965.5822490683857]