Run
452494

Run 452494

Task 259 (Supervised Classification) credit-approval Uploaded 22-05-2015 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
0.937
Per class
Cross-validation details (33% Holdout set)
F measure
0.8723
Per class
Cross-validation details (33% Holdout set)
Kappa
0.7444
Cross-validation details (33% Holdout set)
KB relative information score
134.8076
Cross-validation details (33% Holdout set)
Mean absolute error
0.2239
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4978
Cross-validation details (33% Holdout set)
Number of instances
227
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8726
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8722
Cross-validation details (33% Holdout set)
Prior entropy
0.9913
Cross-validation details (33% Holdout set)
Recall
0.8722
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.4497
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.5008
Cross-validation details (33% Holdout set)
Root mean squared error
0.3132
Cross-validation details (33% Holdout set)
Root relative squared error
0.6254
Cross-validation details (33% Holdout set)
SciMark benchmark
935.2002
UserCPU time millis
30
Cross-validation details (33% Holdout set)
UserCPU time millis training
30
Cross-validation details (33% Holdout set)