DEVELOPMENT... OpenML
Run
20064

Run 20064

Task 2065 (Supervised Classification) primary-tumor Uploaded 18-06-2014 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)_I80
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
0.5307
Per class
F measure
0.1412
Per class
Kappa
0.07
KB relative information score
54.0317
Mean absolute error
0.066
Mean prior absolute error
0.0812
Number of instances
339
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1063
Per class
Predictive accuracy
0.2743
Prior entropy
3.7542
Recall
0.2743
Per class
Relative absolute error
0.8123
Root mean prior squared error
0.2011
Root mean squared error
0.2568
Root relative squared error
1.2773
SciMark benchmark
942.6637[560.12864292244511000.4958509626932481.0671011934597909.90634458777781761.7203488120049]