Run
241449

Run 241449

Task 261 (Supervised Classification) credit-g Uploaded 02-03-2015 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
0.6241
Per class
Cross-validation details (33% Holdout set)
F measure
0.6936
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2579
Cross-validation details (33% Holdout set)
KB relative information score
77.1535
Cross-validation details (33% Holdout set)
Mean absolute error
0.3
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4202
Cross-validation details (33% Holdout set)
Number of instances
330
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6893
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7
Cross-validation details (33% Holdout set)
Prior entropy
0.8818
Cross-validation details (33% Holdout set)
Recall
0.7
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.714
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4583
Cross-validation details (33% Holdout set)
Root mean squared error
0.5477
Cross-validation details (33% Holdout set)
Root relative squared error
1.1952
Cross-validation details (33% Holdout set)
SciMark benchmark
1342.5243
UserCPU time millis
350
Cross-validation details (33% Holdout set)
UserCPU time millis testing
350
Cross-validation details (33% Holdout set)
UserCPU time millis training
Cross-validation details (33% Holdout set)