Run
383946

Run 383946

Task 7394 (Supervised Classification) physionet_asystole Uploaded 03-04-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.IBk(4)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(4)_K5
weka.IBk(4)_W0
weka.IBk(4)_Atrue

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
0.932
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9072
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.665
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
513.4003
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1393
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2814
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1200
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.907
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9075
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.6626
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9075
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4951
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3727
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2577
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6915
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
890.5596
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)