Run
6058595

Run 6058595

Task 2076 (Supervised Classification) kropt Uploaded 31-07-2017 by Miguel Cachada
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weka.Bagging_SMO_NormalizedPolyKernel(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.SMO_NormalizedPolyKernel(2)_C0.908827416093228
weka.SMO_NormalizedPolyKernel(2)_N2
weka.SMO_NormalizedPolyKernel(2)_L0.001
weka.SMO_NormalizedPolyKernel(2)_P1.0E-12
weka.SMO_NormalizedPolyKernel(2)_Mtrue
weka.SMO_NormalizedPolyKernel(2)_V-1
weka.SMO_NormalizedPolyKernel(2)_W1
weka.SMO_NormalizedPolyKernel(2)_Kweka.classifiers.functions.supportVector.NormalizedPolyKernel
weka.SMO_NormalizedPolyKernel(2)_calibratortrue
weka.NormalizedPolyKernel(7)_E4.238700012036896
weka.NormalizedPolyKernel(7)_C250007
weka.Bagging_SMO_NormalizedPolyKernel(1)_P49
weka.Bagging_SMO_NormalizedPolyKernel(1)_S1
weka.Bagging_SMO_NormalizedPolyKernel(1)_num-slots1
weka.Bagging_SMO_NormalizedPolyKernel(1)_I3
weka.Bagging_SMO_NormalizedPolyKernel(1)_Wweka.classifiers.functions.SMO

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.

22 Evaluation measures

Area under ROC curve
0.973
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7525
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7218
Cross-validation details (10-fold Crossvalidation)
KB relative information score
20499.8282
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0414
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0995
Cross-validation details (10-fold Crossvalidation)
Number of instances
28056
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.7571
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7501
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.5053
Cross-validation details (10-fold Crossvalidation)
Recall
0.7501
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4156
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2231
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1414
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.634
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1747.3388
UserCPU time millis
6457680
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
4827900
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1629780
Cross-validation details (10-fold Crossvalidation)