OpenML
99052

Run 99052

Task 3885 (Supervised Classification) mfeat-pixel Uploaded 08-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.NaiveBayes(2)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.

21 Evaluation measures

Area under ROC curve
0.9676
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0152
Cross-validation details (10-fold Crossvalidation)
Build memory
213359871.2
Cross-validation details (10-fold Crossvalidation)
F measure
0.9625
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8037
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1398.1337
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0395
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1803
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9672
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9605
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4703
Cross-validation details (10-fold Crossvalidation)
Recall
0.9605
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2192
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1936
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6454
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.7844