DEVELOPMENT... OpenML
Run
121756

Run 121756

Task 48 (Supervised Classification) heart-c Uploaded 12-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LMT(2)_I160
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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.

21 Evaluation measures

Area under ROC curve
0.8208
Per class
Build CPU time
66.1407
Build memory
1643938095.736
F measure
0.8183
Per class
Kappa
0.6334
KB relative information score
180.0889
Mean absolute error
0.073
Mean prior absolute error
0.2004
Number of instances
303
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8183
Per class
Predictive accuracy
0.8185
Prior entropy
1.0792
Recall
0.8185
Per class
Relative absolute error
0.3645
Root mean prior squared error
0.315
Root mean squared error
0.2693
Root relative squared error
0.8549
SciMark benchmark
942.0692