Run
532068

Run 532068

Task 3881 (Supervised Classification) ipums_la_99-small Uploaded 05-03-2016 by Martijn Post
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.NaiveBayes(13)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
0.777
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5889
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0864
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-46707.8108
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5213
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1203
Cross-validation details (10-fold Crossvalidation)
Number of instances
8844
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 7, 6.1]
Precision
0.9373
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4795
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3444
Cross-validation details (10-fold Crossvalidation)
Recall
0.4795
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
4.3338
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2452
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.7123
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
2.9056
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1850.8887
UserCPU time millis
140.4009
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
124.8008
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
15.6001
Cross-validation details (10-fold Crossvalidation)