Run
19955

Run 19955

Task 9 (Supervised Classification) autos Uploaded 18-06-2014 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)_I40
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
0.9021
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.702
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6199
Cross-validation details (10-fold Crossvalidation)
KB relative information score
35.1426
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2113
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
0.7009
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7073
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3268
Cross-validation details (10-fold Crossvalidation)
Recall
0.7073
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9563
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3318
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3119
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9402
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.1181[563.20332758402671013.9200573100866483.0147548568529907.70082742804311757.751385454742]