Run
225910

Run 225910

Task 243 (Supervised Classification) breast-cancer Uploaded 01-03-2015 by Joaquin Vanschoren
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Flow

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.623
Per class
Cross-validation details (33% Holdout set)
F measure
0.6809
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2705
Cross-validation details (33% Holdout set)
KB relative information score
27.7095
Cross-validation details (33% Holdout set)
Mean absolute error
0.2979
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
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6856
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7021
Cross-validation details (33% Holdout set)
Prior entropy
0.8796
Cross-validation details (33% Holdout set)
Recall
0.7021
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.6836
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4757
Cross-validation details (33% Holdout set)
Root mean squared error
0.5458
Cross-validation details (33% Holdout set)
Root relative squared error
1.1473
Cross-validation details (33% Holdout set)
SciMark benchmark
876.0664
UserCPU time millis
10
Cross-validation details (33% Holdout set)
UserCPU time millis testing
10
Cross-validation details (33% Holdout set)