DEVELOPMENT... OpenML
Run
22733

Run 22733

Task 32 (Supervised Classification) pendigits Uploaded 22-06-2014 by Felicia West
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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)_I20
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
0.9984
Per class
F measure
0.9808
Per class
Kappa
0.9787
KB relative information score
10782.7766
Mean absolute error
0.0043
Mean prior absolute error
0.18
Number of instances
10992
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9808
Per class
Predictive accuracy
0.9808
Prior entropy
3.3208
Recall
0.9808
Per class
Relative absolute error
0.0239
Root mean prior squared error
0.3
Root mean squared error
0.0566
Root relative squared error
0.1886
SciMark benchmark
943.1861[539.01131245406681013.6533323510344488.7309638015554910.53839766977511763.996443846447]

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