DEVELOPMENT... OpenML
Run
22963

Run 22963

Task 57 (Supervised Classification) ionosphere Uploaded 23-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(1)_C3
weka.MultiBoostAB_DecisionStump(1)_I10
weka.MultiBoostAB_DecisionStump(1)_P100
weka.MultiBoostAB_DecisionStump(1)_S1
weka.MultiBoostAB_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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
0.9122
Per class
F measure
0.8287
Per class
Kappa
0.6202
KB relative information score
232.2647
Mean absolute error
0.1502
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
0.8623
Per class
Predictive accuracy
0.8405
Prior entropy
0.9425
Recall
0.8405
Per class
Relative absolute error
0.3261
Root mean prior squared error
0.4797
Root mean squared error
0.3419
Root relative squared error
0.7127
SciMark benchmark
943.6359[561.0294815668511013.919993711725474.05817848535910.85475360997441758.3172656914378]