Run
506069

Run 506069

Task 9904 (Supervised Classification) autoUniv-au6-750 Uploaded 16-01-2016 by Casey Davis
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_C0.7510501079909856
weka.SMO_Puk(1)_N2
weka.SMO_Puk(1)_L0.001
weka.SMO_Puk(1)_P1.0E-12
weka.SMO_Puk(1)_V-1
weka.SMO_Puk(1)_W1
weka.SMO_Puk(1)_Kweka.classifiers.functions.supportVector.Puk
weka.Puk(5)_O0.2539785176209197
weka.Puk(5)_S4.8966231007147005
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
0.5007
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0811
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0031
Cross-validation details (10-fold Crossvalidation)
KB relative information score
45.3454
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2115
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2137
Cross-validation details (10-fold Crossvalidation)
Number of instances
750
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_60, amd64, Linux, 3.16.0-38-generic]
Precision
0.0729
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2173
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.8958
Cross-validation details (10-fold Crossvalidation)
Recall
0.2173
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9893
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3269
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3298
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.009
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1248.9568
UserCPU time millis
1240
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
870
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
370
Cross-validation details (10-fold Crossvalidation)