Run
18912

Run 18912

Task 9 (Supervised Classification) autos Uploaded 11-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_SMO_PolyKernel(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SMO_PolyKernel(1)_I160
weka.Bagging_SMO_PolyKernel(1)_P100
weka.Bagging_SMO_PolyKernel(1)_S1
weka.Bagging_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.Bagging_SMO_PolyKernel(1)_num-slots1
weka.SMO_PolyKernel(5)_C1.0
weka.SMO_PolyKernel(5)_L0.001
weka.SMO_PolyKernel(5)_N0
weka.SMO_PolyKernel(5)_P1.0E-12
weka.SMO_PolyKernel(5)_V-1
weka.SMO_PolyKernel(5)_W1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9076
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7055
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6261
Cross-validation details (10-fold Crossvalidation)
KB relative information score
35.505
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.211
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2209
Cross-validation details (10-fold Crossvalidation)
Number of instances
205
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
0.7026
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7122
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3268
Cross-validation details (10-fold Crossvalidation)
Recall
0.7122
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9551
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3318
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3116
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9391
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
916.2874[544.3947072648879985.4027110313101471.14603042180164870.62101090422471709.8726748745657]