DEVELOPMENT... OpenML
Run
20831

Run 20831

Task 2074 (Supervised Classification) satimage Uploaded 18-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_SMO_PolyKernel(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_SMO_PolyKernel(1)_I160
weka.AdaBoostM1_SMO_PolyKernel(1)_P100
weka.AdaBoostM1_SMO_PolyKernel(1)_S1
weka.AdaBoostM1_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
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
0.9435
Per class
F measure
0.8639
Per class
Kappa
0.8362
KB relative information score
4356.2723
Mean absolute error
0.1221
Mean prior absolute error
0.2701
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8621
Per class
Predictive accuracy
0.8678
Prior entropy
2.4836
Recall
0.8678
Per class
Relative absolute error
0.4522
Root mean prior squared error
0.3675
Root mean squared error
0.2077
Root relative squared error
0.5652
SciMark benchmark
947.8657[566.86405431965431015.7906865781697484.5405689113658909.27509318503251762.8578651418343]