Run
2081168

Run 2081168

Task 145682 (Supervised Classification) spectrometer Uploaded 20-04-2017 by Irma van den Brandt
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_SMO_PolyKernel(4)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.SMO_PolyKernel(15)_C1.0
weka.SMO_PolyKernel(15)_N0
weka.SMO_PolyKernel(15)_L0.001
weka.SMO_PolyKernel(15)_P1.0E-12
weka.SMO_PolyKernel(15)_V-1
weka.SMO_PolyKernel(15)_W1
weka.SMO_PolyKernel(15)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.SMO_PolyKernel(15)_calibratortrue
weka.PolyKernel(11)_E1.0
weka.PolyKernel(11)_C250007
weka.AdaBoostM1_SMO_PolyKernel(4)_P100
weka.AdaBoostM1_SMO_PolyKernel(4)_S1
weka.AdaBoostM1_SMO_PolyKernel(4)_I10
weka.AdaBoostM1_SMO_PolyKernel(4)_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
0.782
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.459
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4606
Cross-validation details (10-fold Crossvalidation)
KB relative information score
206.5656
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0234
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
0.4602
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4915
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.4915
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5897
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1447
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.029
Cross-validation details (10-fold Crossvalidation)