DEVELOPMENT... OpenML
Run
16177

Run 16177

Task 6 (Supervised Classification) letter Uploaded 04-06-2014 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
0.9394
Per class
F measure
0.8237
Per class
Kappa
0.8154
KB relative information score
8743.0195
Mean absolute error
0.0628
Mean prior absolute error
0.074
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8291
Per class
Predictive accuracy
0.8226
Prior entropy
4.6998
Recall
0.8226
Per class
Relative absolute error
0.8487
Root mean prior squared error
0.1923
Root mean squared error
0.1644
Root relative squared error
0.8547
SciMark benchmark
929.3149[530.97130015823151013.3868112175512477.85573387886615899.91071193929471724.4500277703307]