Run
88805

Run 88805

Task 7293 (Supervised Classification) Click_prediction_small Uploaded 03-12-2014 by Kevin Jacobs
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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.
weka.PolyKernel(4)_C250007
weka.PolyKernel(4)_E1.0
weka.SMO_PolyKernel(6)_C1.0
weka.SMO_PolyKernel(6)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.SMO_PolyKernel(6)_L0.01
weka.SMO_PolyKernel(6)_N0
weka.SMO_PolyKernel(6)_P0.01
weka.SMO_PolyKernel(6)_V-1
weka.SMO_PolyKernel(6)_W1

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
0.5266
Per class
Cross-validation details (10-fold Crossvalidation)
Average cost
13.6074
Cross-validation details (10-fold Crossvalidation)
Build CPU time
96.1048
Cross-validation details (10-fold Crossvalidation)
Build memory
1051920978.4988
Cross-validation details (10-fold Crossvalidation)
F measure
0.6914
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0421
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-188655.8367
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3386
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2795
Cross-validation details (10-fold Crossvalidation)
Number of instances
399482
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.13.0-36-generic]
Precision
0.7336
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6614
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.653
Cross-validation details (10-fold Crossvalidation)
Recall
0.6614
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.2115
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3738
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5819
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.5566
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1132.6977
Total cost
5435920
Cross-validation details (10-fold Crossvalidation)