Run
22583

Run 22583

Task 40 (Supervised Classification) glass Uploaded 22-06-2014 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)_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
0.7047
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5276
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3739
Cross-validation details (10-fold Crossvalidation)
KB relative information score
23.3145
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2138
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2116
Cross-validation details (10-fold Crossvalidation)
Number of instances
214
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
0.5161
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5701
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2315
Cross-validation details (10-fold Crossvalidation)
Recall
0.5701
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0104
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3244
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3183
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9812
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.4296[557.08738953167771014.7208839634673483.44967579697345912.43998791392861759.4501199261804]