DEVELOPMENT... OpenML
Run
25772

Run 25772

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
0.9691
Per class
Build CPU time
0.0087
Build memory
243664958.4
F measure
0.9533
Per class
Kappa
0.93
KB relative information score
90.223
Mean absolute error
0.2326
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
0.9544
Per class
Predictive accuracy
0.9533
Prior entropy
1.585
Recall
0.9533
Per class
Relative absolute error
0.5233
Root mean prior squared error
0.4714
Root mean squared error
0.2906
Root relative squared error
0.6164
SciMark benchmark
1682.0994[958.37395040180541218.4349939478666650.35845494517041326.63962873305744256.690074675994]