Run
142365

Run 142365

Task 13 (Supervised Classification) breast-cancer Uploaded 02-01-2015 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_SMO_PolyKernel(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_SMO_PolyKernel(2)_I160
weka.AdaBoostM1_SMO_PolyKernel(2)_P100
weka.AdaBoostM1_SMO_PolyKernel(2)_S1
weka.AdaBoostM1_SMO_PolyKernel(2)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(7)_C1.0
weka.SMO_PolyKernel(7)_L0.001
weka.SMO_PolyKernel(7)_N0
weka.SMO_PolyKernel(7)_P1.0E-12
weka.SMO_PolyKernel(7)_V-1
weka.SMO_PolyKernel(7)_W1

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
0.6179
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.4051
Cross-validation details (10-fold Crossvalidation)
Build memory
1017228425.3427
Cross-validation details (10-fold Crossvalidation)
F measure
0.6739
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1921
Cross-validation details (10-fold Crossvalidation)
KB relative information score
25.6278
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3674
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4183
Cross-validation details (10-fold Crossvalidation)
Number of instances
286
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
0.6674
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6923
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8796
Cross-validation details (10-fold Crossvalidation)
Recall
0.6923
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8784
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.457
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4842
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0594
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
926.507