Run
24675

Run 24675

Task 2065 (Supervised Classification) primary-tumor Uploaded 15-07-2014 by Joaquin Vanschoren
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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
Cross-validation details (10-fold Crossvalidation)
F measure
0.3892
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3411
Cross-validation details (10-fold Crossvalidation)
KB relative information score
89.9003
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0673
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0812
Cross-validation details (10-fold Crossvalidation)
Number of instances
339
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3682
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4218
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.7542
Cross-validation details (10-fold Crossvalidation)
Recall
0.4218
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8281
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2011
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1849
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9196
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.429[565.57740346189041014.7209476623404477.85573387886615911.80521739130441757.1857345400422]