Run
18132

Run 18132

Task 2075 (Supervised Classification) abalone Uploaded 10-06-2014 by Joaquin Vanschoren
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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
0.7199
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1956
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1309
Cross-validation details (10-fold Crossvalidation)
KB relative information score
231.9285
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0647
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0618
Cross-validation details (10-fold Crossvalidation)
Number of instances
4177
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1683
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2507
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6268
Cross-validation details (10-fold Crossvalidation)
Recall
0.2507
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0463
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1757
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1783
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0146
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.7565[563.38522762117461014.7209476623404483.449727694041905.5060508708661761.7204843045454]