DEVELOPMENT... OpenML
Run
22638

Run 22638

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

weka.MultiBoostAB_LMT(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0
weka.MultiBoostAB_LMT(1)_C3
weka.MultiBoostAB_LMT(1)_I10
weka.MultiBoostAB_LMT(1)_P100
weka.MultiBoostAB_LMT(1)_S1
weka.MultiBoostAB_LMT(1)_Wweka.classifiers.trees.LMT

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
0.8704
Per class
F measure
0.8105
Per class
Kappa
0.5849
KB relative information score
159.727
Mean absolute error
0.0753
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
0.8105
Per class
Predictive accuracy
0.8129
Prior entropy
1.0314
Recall
0.8129
Per class
Relative absolute error
0.4033
Root mean prior squared error
0.3037
Root mean squared error
0.2627
Root relative squared error
0.8649
SciMark benchmark
917.8201[555.4906733012758992.5084002640265439.69773242351187885.62168154218811715.7818384757368]