Run
485448

Run 485448

Task 9938 (Supervised Classification) robot-failures-lp5 Uploaded 01-12-2015 by Casey Davis
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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
0.7956
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5379
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.488
Cross-validation details (10-fold Crossvalidation)
KB relative information score
89.4445
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1622
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3119
Cross-validation details (10-fold Crossvalidation)
Number of instances
164
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_60, amd64, Linux, 3.16.0-38-generic]
Precision
0.6286
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5915
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2525
Cross-validation details (10-fold Crossvalidation)
Recall
0.5915
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5199
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3948
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3954
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0015
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1230.3004
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10