Run
59691

Run 59691

Task 2355 (Supervised Classification) meta_instanceincremental.arff Uploaded 15-11-2014 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)_I10
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

0.8847
Per class
Cross-validation details (33% Holdout set)
0.871
Cross-validation details (33% Holdout set)
1500334536
Cross-validation details (33% Holdout set)
0.8365
Per class
Cross-validation details (33% Holdout set)
0.6667
Cross-validation details (33% Holdout set)
11.8488
Cross-validation details (33% Holdout set)
0.1307
Cross-validation details (33% Holdout set)
0.2324
Cross-validation details (33% Holdout set)
24
Per class
Cross-validation details (33% Holdout set)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.8556
Per class
Cross-validation details (33% Holdout set)
0.8333
Cross-validation details (33% Holdout set)
1.3146
Cross-validation details (33% Holdout set)
0.8333
Per class
Cross-validation details (33% Holdout set)
0.5624
Cross-validation details (33% Holdout set)
0.3388
Cross-validation details (33% Holdout set)
0.2505
Cross-validation details (33% Holdout set)
0.7396
Cross-validation details (33% Holdout set)
941.5509