Run
237421

Run 237421

Task 243 (Supervised Classification) breast-cancer 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
0.5895
Per class
Cross-validation details (33% Holdout set)
F measure
0.6225
Per class
Cross-validation details (33% Holdout set)
Kappa
0.1424
Cross-validation details (33% Holdout set)
KB relative information score
1.6864
Cross-validation details (33% Holdout set)
Mean absolute error
0.4178
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4357
Cross-validation details (33% Holdout set)
Number of instances
94
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6393
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.6702
Cross-validation details (33% Holdout set)
Prior entropy
0.8796
Cross-validation details (33% Holdout set)
Recall
0.6702
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.9588
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4757
Cross-validation details (33% Holdout set)
Root mean squared error
0.4746
Cross-validation details (33% Holdout set)
Root relative squared error
0.9977
Cross-validation details (33% Holdout set)
SciMark benchmark
1342.6563
UserCPU time millis
Cross-validation details (33% Holdout set)
UserCPU time millis training
Cross-validation details (33% Holdout set)