Run
24257

Run 24257

Task 57 (Supervised Classification) ionosphere Uploaded 03-07-2014 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
0.8705
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8829
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7449
Cross-validation details (10-fold Crossvalidation)
KB relative information score
258.6082
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1168
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10-fold Crossvalidation)
Number of instances
351
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
0.8827
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8832
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.8832
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2537
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3418
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7125
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
595.4433[343.76044870592193899.1857719032125242.92801028643973525.7601219234152965.5822490683857]