Run
46260

Run 46260

Task 270 (Supervised Classification) glass Uploaded 31-10-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_LMT(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LMT(2)_I160
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
0.8982
Per class
Cross-validation details (33% Holdout set)
Build CPU time
50.788
Cross-validation details (33% Holdout set)
Build memory
649181600
Cross-validation details (33% Holdout set)
F measure
0.7019
Per class
Cross-validation details (33% Holdout set)
Kappa
0.5966
Cross-validation details (33% Holdout set)
KB relative information score
44.0432
Cross-validation details (33% Holdout set)
Mean absolute error
0.1079
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2127
Cross-validation details (33% Holdout set)
Number of instances
70
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
0.7172
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7
Cross-validation details (33% Holdout set)
Prior entropy
2.2315
Cross-validation details (33% Holdout set)
Recall
0.7
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.5075
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3261
Cross-validation details (33% Holdout set)
Root mean squared error
0.2381
Cross-validation details (33% Holdout set)
Root relative squared error
0.73
Cross-validation details (33% Holdout set)
SciMark benchmark
942.5482