Run
474723

Run 474723

Task 3901 (Supervised Classification) jEdit_4.2_4.3 Uploaded 13-09-2015 by Joaquin Vanschoren
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Flow

weka.ADTree(4)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(4)_B10
weka.ADTree(4)_E-3
weka.ADTree(4)_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
0.6905
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6325
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2639
Cross-validation details (10-fold Crossvalidation)
KB relative information score
53.7063
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4294
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4944
Cross-validation details (10-fold Crossvalidation)
Number of instances
369
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.638
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6314
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.992
Cross-validation details (10-fold Crossvalidation)
Recall
0.6314
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8684
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4972
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4685
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9422
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
972.587
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)