DEVELOPMENT... OpenML
Run
163094

Run 163094

Task 5 (Supervised Classification) arrhythmia Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I40
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_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
0.6129
Per class
F measure
0.4406
Per class
Kappa
0.1856
KB relative information score
-31.9833
Mean absolute error
0.1079
Mean prior absolute error
0.0855
Number of instances
452
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3814
Per class
Predictive accuracy
0.5531
Prior entropy
2.5222
Recall
0.5531
Per class
Relative absolute error
1.2618
Root mean prior squared error
0.2055
Root mean squared error
0.2309
Root relative squared error
1.1235
SciMark benchmark
876.8277
UserCPU time millis
80
UserCPU time millis testing
10
UserCPU time millis training
70