Run
237362

Run 237362

Task 4451 (Supervised Classification) pollution Uploaded 02-03-2015 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
0.6732
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.6583
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.3157
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
167.1167
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3654
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4995
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
600
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6582
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.6583
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9992
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.6583
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.7315
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4997
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.5324
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0654
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
934.1747
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)