Run
278289

Run 278289

Task 3733 (Supervised Classification) fri_c2_500_10 Uploaded 07-03-2015 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
0.9537
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8962
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7886
Cross-validation details (10-fold Crossvalidation)
KB relative information score
326.1303
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1826
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4897
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8969
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.896
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9851
Cross-validation details (10-fold Crossvalidation)
Recall
0.896
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3729
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4948
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2849
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5759
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1341.4232
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)