Run
400797

Run 400797

Task 245 (Supervised Classification) breast-w Uploaded 17-04-2015 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
0.9834
Per class
Cross-validation details (33% Holdout set)
F measure
0.9437
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8833
Cross-validation details (33% Holdout set)
KB relative information score
199.4068
Cross-validation details (33% Holdout set)
Mean absolute error
0.091
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.469
Cross-validation details (33% Holdout set)
Number of instances
230
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
0.9448
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9435
Cross-validation details (33% Holdout set)
Prior entropy
0.9297
Cross-validation details (33% Holdout set)
Recall
0.9435
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.194
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.493
Cross-validation details (33% Holdout set)
Root mean squared error
0.2046
Cross-validation details (33% Holdout set)
Root relative squared error
0.4151
Cross-validation details (33% Holdout set)
SciMark benchmark
926.4745
UserCPU time millis
80
Cross-validation details (33% Holdout set)
UserCPU time millis training
80
Cross-validation details (33% Holdout set)