Run
21003

Run 21003

Task 2065 (Supervised Classification) primary-tumor Uploaded 18-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(1)_C3
weka.MultiBoostAB_DecisionStump(1)_I20
weka.MultiBoostAB_DecisionStump(1)_P100
weka.MultiBoostAB_DecisionStump(1)_S1
weka.MultiBoostAB_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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
0.6371
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1864
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.152
Cross-validation details (10-fold Crossvalidation)
KB relative information score
55.41
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0746
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
0.151
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2891
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.7542
Cross-validation details (10-fold Crossvalidation)
Recall
0.2891
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9182
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2011
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1935
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9624
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
925.4753[544.56469948237631009.9344946043965464.0197769303245898.98494494214911709.8726748745657]