Run
16143

Run 16143

Task 2065 (Supervised Classification) primary-tumor Uploaded 04-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_RandomForest(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomForest(1)_I160
weka.AdaBoostM1_RandomForest(1)_P100
weka.AdaBoostM1_RandomForest(1)_S1
weka.AdaBoostM1_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

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
0.7302
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3801
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3118
Cross-validation details (10-fold Crossvalidation)
KB relative information score
88.4638
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0656
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
0.3752
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3923
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.7542
Cross-validation details (10-fold Crossvalidation)
Recall
0.3923
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8077
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2011
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1938
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9637
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
939.5945[550.92879646099481009.6699252256896483.0147548568529893.77433845018811760.5845701777503]