Run
134739

Run 134739

Task 1777 (Supervised Classification) breast-cancer Uploaded 28-12-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_RandomTree(2)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_RandomTree(2)_I20
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.6159
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.009
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
2003489368.8
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.6598
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.1693
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
210.3099
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.3315
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.4183
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
1430
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6539
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.6685
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
0.8796
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.6685
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.7925
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.457
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.5563
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
1.2171
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
939.084