DEVELOPMENT... OpenML
Run
19284

Run 19284

Task 30 (Supervised Classification) page-blocks Uploaded 12-06-2014 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)_I40
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
0.8899
Per class
F measure
0.9375
Per class
Kappa
0.6658
KB relative information score
3264.3066
Mean absolute error
0.0217
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9388
Per class
Predictive accuracy
0.9465
Prior entropy
0.6391
Recall
0.9465
Per class
Relative absolute error
0.2846
Root mean prior squared error
0.1949
Root mean squared error
0.1432
Root relative squared error
0.7349
SciMark benchmark
946.2612[565.02776169467961015.2555353338006481.71457151086304912.12245438067161757.1857345400422]

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