Run
18654

Run 18654

Task 9 (Supervised Classification) autos Uploaded 11-06-2014 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)_I20
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
0.9166
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8187
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7639
Cross-validation details (10-fold Crossvalidation)
KB relative information score
157.5754
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0515
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2209
Cross-validation details (10-fold Crossvalidation)
Number of instances
205
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
0.821
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8195
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3268
Cross-validation details (10-fold Crossvalidation)
Recall
0.8195
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2331
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3318
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2155
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6495
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
886.6112[554.0789831458634990.2132722667832467.86139427096174889.83024838585941531.0719001027685]