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Run
17401

Run 17401

Task 11 (Supervised Classification) balance-scale Uploaded 08-06-2014 by Felicia West
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Flow

weka.Bagging_SMO_PolyKernel(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SMO_PolyKernel(1)_I80
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
0.9039
Per class
F measure
0.8319
Per class
Kappa
0.7537
KB relative information score
210.0204
Mean absolute error
0.2675
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7994
Per class
Predictive accuracy
0.8672
Prior entropy
1.3212
Recall
0.8672
Per class
Relative absolute error
0.7044
Root mean prior squared error
0.4356
Root mean squared error
0.3266
Root relative squared error
0.7497
SciMark benchmark
947.0614[563.93167687387211015.2555353338006483.23216931738307916.26701994949291756.6204475653492]