Run
247705

Run 247705

Task 2355 (Supervised Classification) meta_instanceincremental.arff 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
0.8856
Per class
Cross-validation details (33% Holdout set)
F measure
0.9148
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8161
Cross-validation details (33% Holdout set)
KB relative information score
18.305
Cross-validation details (33% Holdout set)
Mean absolute error
0.0437
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2324
Cross-validation details (33% Holdout set)
Number of instances
24
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
0.925
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9167
Cross-validation details (33% Holdout set)
Prior entropy
1.3146
Cross-validation details (33% Holdout set)
Recall
0.9167
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.188
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3388
Cross-validation details (33% Holdout set)
Root mean squared error
0.2046
Cross-validation details (33% Holdout set)
Root relative squared error
0.6039
Cross-validation details (33% Holdout set)
SciMark benchmark
909.1698
UserCPU time millis
10
Cross-validation details (33% Holdout set)
UserCPU time millis testing
10
UserCPU time millis training
Cross-validation details (33% Holdout set)