Run
24618

Run 24618

Task 2065 (Supervised Classification) primary-tumor Uploaded 14-07-2014 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)_I160
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
0.7104
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3546
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.28
Cross-validation details (10-fold Crossvalidation)
KB relative information score
15.2236
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0853
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
0.3502
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3658
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.7542
Cross-validation details (10-fold Crossvalidation)
Recall
0.3658
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0505
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2011
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2049
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0192
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
594.3263[344.16746155121865902.555042907464242.81814578765238522.6156017649438959.4753017420612]