Run
20590

Run 20590

Task 51 (Supervised Classification) trains 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)_I80
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
0.42
Per class
F measure
0.2929
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.4
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-3.3132
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.6578
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
10
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
0.2917
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.3
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.3155
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.7895
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.5789
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.981[561.20997989739871012.5880246437401482.58056402979616908.95975824819551764.5664888040972]