Run
2290955

Run 2290955

Task 2077 (Supervised Classification) baseball Uploaded 20-05-2017 by Miguel Cachada
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.SMO_RBFKernel(8)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.SMO_RBFKernel(8)_C10.0
weka.SMO_RBFKernel(8)_N0
weka.SMO_RBFKernel(8)_L0.001
weka.SMO_RBFKernel(8)_P1.0E-12
weka.SMO_RBFKernel(8)_V-1
weka.SMO_RBFKernel(8)_W1
weka.SMO_RBFKernel(8)_Kweka.classifiers.functions.supportVector.RBFKernel
weka.SMO_RBFKernel(8)_calibratortrue
weka.RBFKernel(5)_G0.01
weka.RBFKernel(5)_C250007

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.

17 Evaluation measures

Area under ROC curve
0.6069
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8892
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2545
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-3498.0226
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2439
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1164
Cross-validation details (10-fold Crossvalidation)
Number of instances
1340
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8719
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9194
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5456
Cross-validation details (10-fold Crossvalidation)
Recall
0.9194
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
2.096
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2405
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3091
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2852
Cross-validation details (10-fold Crossvalidation)