DEVELOPMENT... OpenML
Run
23452

Run 23452

Task 2072 (Supervised Classification) covertype Uploaded 25-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_SMO_PolyKernel(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_SMO_PolyKernel(1)_C3
weka.MultiBoostAB_SMO_PolyKernel(1)_I160
weka.MultiBoostAB_SMO_PolyKernel(1)_P100
weka.MultiBoostAB_SMO_PolyKernel(1)_S1
weka.MultiBoostAB_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
0.7583
Per class
F measure
0.6605
Per class
Kappa
0.4964
KB relative information score
3270.6872
Mean absolute error
0.219
Mean prior absolute error
0.1853
Number of instances
110393
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6718
Per class
Predictive accuracy
0.6867
Prior entropy
1.8698
Recall
0.6867
Per class
Relative absolute error
1.1818
Root mean prior squared error
0.3044
Root mean squared error
0.316
Root relative squared error
1.0383
SciMark benchmark
943.8291[562.65824500357811014.9881073746852481.49857166643204903.94479785969181756.0556588021248]