Run
136607

Run 136607

Task 2354 (Supervised Classification) meta_ensembles.arff Uploaded 31-12-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I160
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.5024
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.005
Cross-validation details (33% Holdout set)
Build memory
1317914200
Cross-validation details (33% Holdout set)
F measure
0.4118
Per class
Cross-validation details (33% Holdout set)
Kappa
-0.0213
Cross-validation details (33% Holdout set)
KB relative information score
2.7263
Cross-validation details (33% Holdout set)
Mean absolute error
0.25
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2983
Cross-validation details (33% Holdout set)
Number of instances
24
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.35
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.5
Cross-validation details (33% Holdout set)
Prior entropy
1.5899
Cross-validation details (33% Holdout set)
Recall
0.5
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.838
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3886
Cross-validation details (33% Holdout set)
Root mean squared error
0.5
Cross-validation details (33% Holdout set)
Root relative squared error
1.2868
Cross-validation details (33% Holdout set)
SciMark benchmark
915.3856