DEVELOPMENT... OpenML
Run
25749

Run 25749

Task 59 (Supervised Classification) iris Uploaded 05-10-2014 by Felicia West
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Flow

weka.SMO_PolyKernel(6)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.

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.

21 Evaluation measures

Area under ROC curve
0.803
Per class
Build CPU time
0.0139
Build memory
302666537.6
F measure
0.6919
Per class
Kappa
0.55
KB relative information score
62.1879
Mean absolute error
0.3052
Mean prior absolute error
0.4444
Number of instances
150
Per class
OS information
[Oracle Corporation, 1.7.0_67, x86_64, Mac OS X, 10.9.4]
Precision
0.742
Per class
Predictive accuracy
0.7
Prior entropy
1.585
Recall
0.7
Per class
Relative absolute error
0.6867
Root mean prior squared error
0.4714
Root mean squared error
0.3963
Root relative squared error
0.8406
SciMark benchmark
1682.0994[958.37395040180541218.4349939478666650.35845494517041326.63962873305744256.690074675994]