DEVELOPMENT... OpenML
Run
17924

Run 17924

Task 55 (Supervised Classification) vote Uploaded 09-06-2014 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)_I10
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
0.9856
Per class
F measure
0.9586
Per class
Kappa
0.9127
KB relative information score
397.966
Mean absolute error
0.0388
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9586
Per class
Predictive accuracy
0.9586
Prior entropy
0.9627
Recall
0.9586
Per class
Relative absolute error
0.0819
Root mean prior squared error
0.4869
Root mean squared error
0.1882
Root relative squared error
0.3865
SciMark benchmark
945.3898[565.57740346189041013.6533323510344482.58056402979616907.38665814554741757.7512505720342]