Run
383864

Run 383864

Task 7394 (Supervised Classification) physionet_asystole Uploaded 03-04-2015 by Joaquin Vanschoren
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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
0.901
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9105
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.701
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
693.9209
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.095
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
0.9242
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.905
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.6626
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.905
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3376
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
0.3082
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.827
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
944.5341
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)