OpenML
247573

Run 247573

Task 336 (Supervised Classification) electricity Uploaded 04-03-2015 by Joaquin Vanschoren
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Flow

weka.NaiveBayes(10)George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.

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
0.7906
Per class
Cross-validation details (33% Holdout set)
F measure
0.7224
Per class
Cross-validation details (33% Holdout set)
Kappa
0.4386
Cross-validation details (33% Holdout set)
KB relative information score
5848.1302
Cross-validation details (33% Holdout set)
Mean absolute error
0.3041
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
0.7632
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7393
Cross-validation details (33% Holdout set)
Prior entropy
0.9835
Cross-validation details (33% Holdout set)
Recall
0.7393
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.6216
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.495
Cross-validation details (33% Holdout set)
Root mean squared error
0.4422
Cross-validation details (33% Holdout set)
Root relative squared error
0.8935
Cross-validation details (33% Holdout set)
SciMark benchmark
922.1419
UserCPU time millis
260
Cross-validation details (33% Holdout set)
UserCPU time millis testing
150
Cross-validation details (33% Holdout set)
UserCPU time millis training
110
Cross-validation details (33% Holdout set)