Run
57391

Run 57391

Task 2354 (Supervised Classification) meta_ensembles.arff Uploaded 13-11-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_LMT(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LMT(2)_I40
weka.Bagging_LMT(2)_P100
weka.Bagging_LMT(2)_S1
weka.Bagging_LMT(2)_Wweka.classifiers.trees.LMT
weka.Bagging_LMT(2)_num-slots1
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.7521
Per class
Cross-validation details (33% Holdout set)
Build CPU time
3.957
Cross-validation details (33% Holdout set)
Build memory
3327642008
Cross-validation details (33% Holdout set)
F measure
0.5794
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2857
Cross-validation details (33% Holdout set)
KB relative information score
7.196
Cross-validation details (33% Holdout set)
Mean absolute error
0.2418
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
0.5806
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.5833
Cross-validation details (33% Holdout set)
Prior entropy
1.5899
Cross-validation details (33% Holdout set)
Recall
0.5833
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.8106
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3886
Cross-validation details (33% Holdout set)
Root mean squared error
0.3775
Cross-validation details (33% Holdout set)
Root relative squared error
0.9716
Cross-validation details (33% Holdout set)
SciMark benchmark
942.8979