Run
237149

Run 237149

Task 265 (Supervised Classification) dermatology 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
0.9748
Per class
Cross-validation details (33% Holdout set)
F measure
0.9414
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9258
Cross-validation details (33% Holdout set)
KB relative information score
108.2334
Cross-validation details (33% Holdout set)
Mean absolute error
0.0254
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2653
Cross-validation details (33% Holdout set)
Number of instances
120
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
0.9457
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9417
Cross-validation details (33% Holdout set)
Prior entropy
2.4378
Cross-validation details (33% Holdout set)
Recall
0.9417
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.0958
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3633
Cross-validation details (33% Holdout set)
Root mean squared error
0.137
Cross-validation details (33% Holdout set)
Root relative squared error
0.3771
Cross-validation details (33% Holdout set)
SciMark benchmark
932.0242
UserCPU time millis
240
Cross-validation details (33% Holdout set)
UserCPU time millis training
240
Cross-validation details (33% Holdout set)