Run
16768

Run 16768

Task 2065 (Supervised Classification) primary-tumor Uploaded 05-06-2014 by Joaquin Vanschoren
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Flow

weka.LogitBoost_DecisionStump(1)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(1)_F0
weka.LogitBoost_DecisionStump(1)_H1.0
weka.LogitBoost_DecisionStump(1)_I20
weka.LogitBoost_DecisionStump(1)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(1)_P100
weka.LogitBoost_DecisionStump(1)_R1
weka.LogitBoost_DecisionStump(1)_S1
weka.LogitBoost_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
0.837
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4312
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3837
Cross-validation details (10-fold Crossvalidation)
KB relative information score
133.8184
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0559
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
0.4151
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4543
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.7542
Cross-validation details (10-fold Crossvalidation)
Recall
0.4543
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6887
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2011
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1793
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8916
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.089[547.98640357238081016.0585376856843484.10363182779514911.80521739130441755.4912331040343]