Run
16086

Run 16086

Task 47 (Supervised Classification) tae Uploaded 04-06-2014 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)_I160
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
0.8161
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7016
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.553
Cross-validation details (10-fold Crossvalidation)
KB relative information score
88.7798
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2014
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4443
Cross-validation details (10-fold Crossvalidation)
Number of instances
151
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
0.7015
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.702
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5845
Cross-validation details (10-fold Crossvalidation)
Recall
0.702
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4532
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4713
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4389
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9311
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
932.7714[557.443486323891954.1742964201597483.44967579697345909.90626928802961758.8835103978397]