Run
264206

Run 264206

Task 1892 (Supervised Classification) mfeat-factors Uploaded 05-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.9785
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9613
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.9571
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
19191.6295
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0077
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9614
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9614
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9614
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.0429
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.0879
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.2931
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1296.8947
UserCPU time millis
15880
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
15880
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)