Run
475083

Run 475083

Task 4517 (Supervised Classification) arsenic-female-bladder Uploaded 14-09-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.ADTree(4)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(4)_B10
weka.ADTree(4)_E-3
weka.ADTree(4)_S1

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
0.8045
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8295
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.2034
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-1781.2677
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2344
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
5590
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.8406
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8664
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8664
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.9523
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.327
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9337
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
972.587
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)