Run
1875099

Run 1875099

Task 145682 (Supervised Classification) spectrometer Uploaded 31-03-2017 by Frank Ritchi
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Flow

weka.Bagging_SMO_RBFKernel(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.SMO_RBFKernel(8)_C0.001
weka.SMO_RBFKernel(8)_N0
weka.SMO_RBFKernel(8)_L0.001
weka.SMO_RBFKernel(8)_P1.0E-12
weka.SMO_RBFKernel(8)_V-1
weka.SMO_RBFKernel(8)_W1
weka.SMO_RBFKernel(8)_Kweka.classifiers.functions.supportVector.RBFKernel
weka.SMO_RBFKernel(8)_calibratortrue
weka.RBFKernel(5)_G0.01
weka.RBFKernel(5)_C250007
weka.Bagging_SMO_RBFKernel(1)_P100
weka.Bagging_SMO_RBFKernel(1)_S1
weka.Bagging_SMO_RBFKernel(1)_num-slots1
weka.Bagging_SMO_RBFKernel(1)_I10
weka.Bagging_SMO_RBFKernel(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.

17 Evaluation measures

Area under ROC curve
0.5667
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0194
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
13.0712
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0403
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0396
Cross-validation details (10-fold Crossvalidation)
Number of instances
531
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.0107
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.1036
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.1036
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0159
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1415
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0063
Cross-validation details (10-fold Crossvalidation)
Total cost