DEVELOPMENT... OpenML
Run
24675

Run 24675

Task 2065 (Supervised Classification) primary-tumor Uploaded 15-07-2014 by Felicia West
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Flow

weka.MultiBoostAB_BFTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_C3
weka.MultiBoostAB_BFTree(1)_I10
weka.MultiBoostAB_BFTree(1)_P100
weka.MultiBoostAB_BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_Wweka.classifiers.trees.BFTree

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
0.7704
Per class
F measure
0.3892
Per class
Kappa
0.3411
KB relative information score
89.9003
Mean absolute error
0.0673
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
0.3682
Per class
Predictive accuracy
0.4218
Prior entropy
3.7542
Recall
0.4218
Per class
Relative absolute error
0.8281
Root mean prior squared error
0.2011
Root mean squared error
0.1849
Root relative squared error
0.9196
SciMark benchmark
945.429[565.57740346189041014.7209476623404477.85573387886615911.80521739130441757.1857345400422]