Run
237626

Run 237626

Task 3705 (Supervised Classification) autoHorse Uploaded 02-03-2015 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
0.9912
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9707
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9393
Cross-validation details (10-fold Crossvalidation)
KB relative information score
175.0022
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0791
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4821
Cross-validation details (10-fold Crossvalidation)
Number of instances
205
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9707
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9707
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9742
Cross-validation details (10-fold Crossvalidation)
Recall
0.9707
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1642
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4909
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1758
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3581
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1344.3348
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)