Run
383263

Run 383263

Task 7394 (Supervised Classification) physionet_asystole Uploaded 03-04-2015 by Joaquin Vanschoren
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Flow

weka.PART(3)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(3)_C0.25
weka.PART(3)_M2
weka.PART(3)_Q1

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
0.8168
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9177
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6962
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
696.9466
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1033
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
0.9169
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.92
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.6626
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.92
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.367
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
0.2745
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7366
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
942.7551
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)