Run
18993

Run 18993

Task 40 (Supervised Classification) glass Uploaded 12-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_BFTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_C3
weka.MultiBoostAB_BFTree(1)_I40
weka.MultiBoostAB_BFTree(1)_P100
weka.MultiBoostAB_BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_Wweka.classifiers.trees.BFTree

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
0.8965
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7792
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7042
Cross-validation details (10-fold Crossvalidation)
KB relative information score
148.4891
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0634
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
0.7809
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.785
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2315
Cross-validation details (10-fold Crossvalidation)
Recall
0.785
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2995
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3244
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2473
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7622
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
919.4058[549.7133900178856984.3959268331351473.84898880647887882.93705666990661706.1335131639553]