Run
18056

Run 18056

Task 2 (Supervised Classification) anneal Uploaded 10-06-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I10
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.95
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9497
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.873
Cross-validation details (10-fold Crossvalidation)
KB relative information score
767.4048
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0166
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
0.9498
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9499
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.9499
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1239
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.126
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.488
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
894.14[539.84545615315941011.2595505536781468.8829003871018892.5570199707421558.1550717574194]