Run
84876

Run 84876

Task 3732 (Supervised Classification) fri_c4_100_25 Uploaded 02-12-2014 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(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SMO_PolyKernel(2)_I40
weka.Bagging_SMO_PolyKernel(2)_P100
weka.Bagging_SMO_PolyKernel(2)_S1
weka.Bagging_SMO_PolyKernel(2)_Wweka.classifiers.functions.SMO
weka.Bagging_SMO_PolyKernel(2)_num-slots1
weka.SMO_PolyKernel(7)_C1.0
weka.SMO_PolyKernel(7)_L0.001
weka.SMO_PolyKernel(7)_N0
weka.SMO_PolyKernel(7)_P1.0E-12
weka.SMO_PolyKernel(7)_V-1
weka.SMO_PolyKernel(7)_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
0.7168
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.2711
Cross-validation details (10-fold Crossvalidation)
Build memory
3129197274.4
Cross-validation details (10-fold Crossvalidation)
F measure
0.6604
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3178
Cross-validation details (10-fold Crossvalidation)
KB relative information score
26.7834
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3675
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4969
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
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
0.6613
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.66
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9956
Cross-validation details (10-fold Crossvalidation)
Recall
0.66
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7396
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4984
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4902
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9836
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.8315