Run
385152

Run 385152

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

weka.J48(28)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(28)_C0.25
weka.J48(28)_M2

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
0.7289
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9147
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6834
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
685.6018
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1076
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
0.9139
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9175
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.6626
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9175
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3825
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
0.2815
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7552
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
933.4598
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)