DEVELOPMENT... OpenML
Run
20711

Run 20711

Task 50 (Supervised Classification) heart-h Uploaded 18-06-2014 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)_I20
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
0.8491
Per class
F measure
0.8051
Per class
Kappa
0.5752
KB relative information score
156.1045
Mean absolute error
0.0776
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
0.8045
Per class
Predictive accuracy
0.8061
Prior entropy
1.0314
Recall
0.8061
Per class
Relative absolute error
0.4156
Root mean prior squared error
0.3037
Root mean squared error
0.2745
Root relative squared error
0.9038
SciMark benchmark
944.557[567.23271965926381014.9881711071126483.44967579697345913.39368876640651743.7207492169434]