Run
574378

Run 574378

Task 33 (Supervised Classification) cylinder-bands Uploaded 31-05-2016 by Jan van Rijn
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Flow

weka.ADTree(7)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(7)_B10
weka.ADTree(7)_E-3
weka.ADTree(7)_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
0.7541
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6908
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3625
Cross-validation details (10-fold Crossvalidation)
KB relative information score
100.6803
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4072
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4879
Cross-validation details (10-fold Crossvalidation)
Number of instances
540
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.6933
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6963
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9826
Cross-validation details (10-fold Crossvalidation)
Recall
0.6963
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8346
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4939
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4477
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9064
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1688.2875
UserCPU time millis
60
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
60
Cross-validation details (10-fold Crossvalidation)