Run
110082

Run 110082

Task 3853 (Supervised Classification) eucalyptus Uploaded 09-12-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_IBk(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_IBk(2)_I80
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.6098
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0452
Cross-validation details (10-fold Crossvalidation)
Build memory
127400104.6087
Cross-validation details (10-fold Crossvalidation)
F measure
0.6899
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2546
Cross-validation details (10-fold Crossvalidation)
KB relative information score
133.2675
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3131
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4127
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
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
0.6927
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6875
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8704
Cross-validation details (10-fold Crossvalidation)
Recall
0.6875
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7586
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4541
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5582
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2292
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
916.1588