DEVELOPMENT... OpenML
Run
16103

Run 16103

Task 51 (Supervised Classification) trains Uploaded 04-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_J48(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.J48(1)_C0.25
weka.J48(1)_M2
weka.MultiBoostAB_J48(1)_C3
weka.MultiBoostAB_J48(1)_I20
weka.MultiBoostAB_J48(1)_P100
weka.MultiBoostAB_J48(1)_S1
weka.MultiBoostAB_J48(1)_Wweka.classifiers.trees.J48

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
0.82
Per class
F measure
0.899
Per class
Kappa
0.8
KB relative information score
7.0966
Mean absolute error
0.1531
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
0.9167
Per class
Predictive accuracy
0.9
Prior entropy
1
Recall
0.9
Per class
Relative absolute error
0.3062
Root mean prior squared error
0.5
Root mean squared error
0.3386
Root relative squared error
0.6772
SciMark benchmark
942.1497[562.83983636088461005.4552756626294471.97445780944514914.98778054938791755.4912331040343]