Run
202316

Run 202316

Task 336 (Supervised Classification) electricity Uploaded 27-02-2015 by Joaquin Vanschoren
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Flow

weka.IBk(4)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(4)_K5
weka.IBk(4)_W0
weka.IBk(4)_Atrue

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
0.8701
Per class
Cross-validation details (33% Holdout set)
F measure
0.8016
Per class
Cross-validation details (33% Holdout set)
Kappa
0.594
Cross-validation details (33% Holdout set)
KB relative information score
7304.1397
Cross-validation details (33% Holdout set)
Mean absolute error
0.2578
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4893
Cross-validation details (33% Holdout set)
Number of instances
14952
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
0.8017
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8024
Cross-validation details (33% Holdout set)
Prior entropy
0.9835
Cross-validation details (33% Holdout set)
Recall
0.8024
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.5269
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.495
Cross-validation details (33% Holdout set)
Root mean squared error
0.3772
Cross-validation details (33% Holdout set)
Root relative squared error
0.762
Cross-validation details (33% Holdout set)
SciMark benchmark
916.6405
UserCPU time millis
224600
Cross-validation details (33% Holdout set)
UserCPU time millis testing
224570
Cross-validation details (33% Holdout set)
UserCPU time millis training
30
Cross-validation details (33% Holdout set)