DEVELOPMENT... OpenML
Run
24596

Run 24596

Task 11 (Supervised Classification) balance-scale Uploaded 13-07-2014 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)_I20
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
0.967
Per class
F measure
0.8508
Per class
Kappa
0.7841
KB relative information score
455.3938
Mean absolute error
0.1065
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8426
Per class
Predictive accuracy
0.8832
Prior entropy
1.3212
Recall
0.8832
Per class
Relative absolute error
0.2805
Root mean prior squared error
0.4356
Root mean squared error
0.2324
Root relative squared error
0.5335
SciMark benchmark
595.9276[343.2193137108203899.6055294272123242.5986885023368525.5493272064665968.6650092670878]