Run
506156

Run 506156

Task 9980 (Supervised Classification) climate-model-simulation-crashes Uploaded 16-01-2016 by Casey Davis
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Flow

weka.SMO_Puk(1)J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning, 1998. S.S. Keerthi, S.K. Shevade, C. Bhattacharyya, K.R.K. Murthy (2001). Improvements to Platt's SMO Algorithm for SVM Classifier Design. Neural Computation. 13(3):637-649. Trevor Hastie, Robert Tibshirani: Classification by Pairwise Coupling. In: Advances in Neural Information Processing Systems, 1998.
weka.SMO_Puk(1)_C0.832411152556304
weka.SMO_Puk(1)_N1
weka.SMO_Puk(1)_L0.001
weka.SMO_Puk(1)_P1.0E-12
weka.SMO_Puk(1)_Mtrue
weka.SMO_Puk(1)_V-1
weka.SMO_Puk(1)_W1
weka.SMO_Puk(1)_Kweka.classifiers.functions.supportVector.Puk
weka.Puk(5)_O0.5085403084923732
weka.Puk(5)_S8.581798172896692
weka.Puk(5)_C250007

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
0.7331
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8665
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2628
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-163.7778
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1485
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1571
Cross-validation details (10-fold Crossvalidation)
Number of instances
540
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_60, amd64, Linux, 3.16.0-38-generic]
Precision
0.8887
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.85
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4254
Cross-validation details (10-fold Crossvalidation)
Recall
0.85
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.945
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2792
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3807
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3638
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1253.3977
UserCPU time millis
130
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
30
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
100
Cross-validation details (10-fold Crossvalidation)