DEVELOPMENT... OpenML
Run
22491

Run 22491

Task 50 (Supervised Classification) heart-h Uploaded 22-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_OneR(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_OneR(1)_C3
weka.MultiBoostAB_OneR(1)_I20
weka.MultiBoostAB_OneR(1)_P100
weka.MultiBoostAB_OneR(1)_S1
weka.MultiBoostAB_OneR(1)_Wweka.classifiers.rules.OneR
weka.OneR(1)_B6

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8345
Per class
F measure
0.8019
Per class
Kappa
0.5643
KB relative information score
150.6234
Mean absolute error
0.082
Mean prior absolute error
0.1867
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8036
Per class
Predictive accuracy
0.8061
Prior entropy
1.0314
Recall
0.8061
Per class
Relative absolute error
0.4389
Root mean prior squared error
0.3037
Root mean squared error
0.2666
Root relative squared error
0.8779
SciMark benchmark
944.9092[550.75484986928831013.9200573100866483.23216931738307908.64471704177161767.9939646936223]