DEVELOPMENT... OpenML
Run
23678

Run 23678

Task 51 (Supervised Classification) trains Uploaded 26-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_OneR(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_OneR(1)_C3
weka.MultiBoostAB_OneR(1)_I20
weka.MultiBoostAB_OneR(1)_P100
weka.MultiBoostAB_OneR(1)_S1
weka.MultiBoostAB_OneR(1)_Wweka.classifiers.rules.OneR
weka.OneR(1)_B6

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
0.52
Per class
F measure
0.375
Per class
Kappa
-0.2
KB relative information score
-1.9172
Mean absolute error
0.5944
Mean prior absolute error
0.5
Number of instances
10
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.381
Per class
Predictive accuracy
0.4
Prior entropy
1
Recall
0.4
Per class
Relative absolute error
1.1887
Root mean prior squared error
0.5
Root mean squared error
0.7674
Root relative squared error
1.5349
SciMark benchmark
944.4706[567.60186484084651011.5249537742577474.686957266523910.22218605324211758.3172656914378]