Run
196892

Run 196892

Task 2372 (Supervised Classification) lung-cancer Uploaded 26-02-2015 by Joaquin Vanschoren
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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
0.6829
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2969
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0573
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7.7033
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3611
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4393
Cross-validation details (10-fold Crossvalidation)
Number of instances
32
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4829
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4375
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.57
Cross-validation details (10-fold Crossvalidation)
Recall
0.4375
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.822
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4684
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4615
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9852
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
916.5769
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)