Run
22429

Run 22429

Task 2065 (Supervised Classification) primary-tumor Uploaded 21-06-2014 by Joaquin Vanschoren
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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)_I10
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
Cross-validation details (10-fold Crossvalidation)
F measure
0.1412
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.07
Cross-validation details (10-fold Crossvalidation)
KB relative information score
54.0317
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.066
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
0.1063
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2743
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.7542
Cross-validation details (10-fold Crossvalidation)
Recall
0.2743
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8123
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2011
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2568
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2773
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
941.2656[549.886720604579989.9588726891902483.88543266528814914.03074966105571768.5664600912808]