Run
419528

Run 419528

Task 7394 (Supervised Classification) physionet_asystole Uploaded 08-05-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I40
weka.MultiBoostAB_DecisionStump(3)_Wweka.classifiers.trees.DecisionStump

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
0.9321
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9372
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7697
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
856.82
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0624
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
0.9367
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9383
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.6626
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9383
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.2216
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
0.2394
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6424
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
938.3115
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)