Run
270442

Run 270442

Task 2353 (Supervised Classification) meta_batchincremental.arff Uploaded 06-03-2015 by Joaquin Vanschoren
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Flow

weka.BFTree(3)Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ. Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of statistics. 28(2):337-407.
weka.BFTree(3)_PPOSTPRUNED
weka.BFTree(3)_M2
weka.BFTree(3)_N5
weka.BFTree(3)_Ctrue
weka.BFTree(3)_S1

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.

22 Evaluation measures

Area under ROC curve
0.8105
Per class
Cross-validation details (33% Holdout set)
F measure
0.8212
Per class
Cross-validation details (33% Holdout set)
Kappa
0.5596
Cross-validation details (33% Holdout set)
KB relative information score
5.5487
Cross-validation details (33% Holdout set)
Mean absolute error
0.1609
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2249
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
0.8227
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8333
Cross-validation details (33% Holdout set)
Prior entropy
1.3842
Cross-validation details (33% Holdout set)
Recall
0.8333
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7154
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3095
Cross-validation details (33% Holdout set)
Root mean squared error
0.2941
Cross-validation details (33% Holdout set)
Root relative squared error
0.9504
Cross-validation details (33% Holdout set)
SciMark benchmark
932.0242
UserCPU time millis
30
Cross-validation details (33% Holdout set)
UserCPU time millis training
30
Cross-validation details (33% Holdout set)