Run
21305

Run 21305

Task 2 (Supervised Classification) anneal Uploaded 18-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_LMT(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0
weka.MultiBoostAB_LMT(1)_C3
weka.MultiBoostAB_LMT(1)_I20
weka.MultiBoostAB_LMT(1)_P100
weka.MultiBoostAB_LMT(1)_S1
weka.MultiBoostAB_LMT(1)_Wweka.classifiers.trees.LMT

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
0.9661
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9653
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9132
Cross-validation details (10-fold Crossvalidation)
KB relative information score
803.8873
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0114
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
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
0.9652
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9655
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.9655
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0848
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1046
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.405
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
928.268[537.1852945089609994.3008483142872483.0147548568529902.38899339674911724.4500277703307]