Run
439385

Run 439385

Task 2094 (Learning Curve) adult Uploaded 15-05-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.SMO_RBFKernel(3)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.RBFKernel(3)_G0.01
weka.RBFKernel(3)_C250007
weka.SMO_RBFKernel(3)_C1.0
weka.SMO_RBFKernel(3)_N0
weka.SMO_RBFKernel(3)_L0.001
weka.SMO_RBFKernel(3)_P1.0E-12
weka.SMO_RBFKernel(3)_V-1
weka.SMO_RBFKernel(3)_W1
weka.SMO_RBFKernel(3)_Kweka.classifiers.functions.supportVector.RBFKernel

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
0.7572 ± 0.0057
Per class
F measure
0.846 ± 0.0036
Per class
Kappa
0.5608 ± 0.0104
KB relative information score
0.546 ± 0.0105
Mean absolute error
0.1467 ± 0.0034
Mean prior absolute error
0.3641 ± 0
Number of instances
48842
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8464 ± 0.0038
Per class
Predictive accuracy
0.8533 ± 0.0034
Prior entropy
0.7938 ± 0.0002
Recall
0.8533 ± 0.0034
Per class
Relative absolute error
0.4028 ± 0.0093
Root mean prior squared error
0.4266 ± 0.0001
Root mean squared error
0.383 ± 0.0044
Root relative squared error
0.8976 ± 0.0104
SciMark benchmark
937.5156
UserCPU time millis
12568350
UserCPU time millis testing
1123170
UserCPU time millis training
11445180