Run
237433

Run 237433

Task 4645 (Supervised Classification) leukemia 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
0.8003
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8262
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6197
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
414.5096
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1884
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4546
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
720
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8282
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.825
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9353
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.825
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4145
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4761
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4077
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8563
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1330.7266
UserCPU time millis
1260
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
1260
Cross-validation details (10 times 10-fold Crossvalidation)