DEVELOPMENT... OpenML
Run
119574

Run 119574

Task 278 (Supervised Classification) heart-c Uploaded 10-12-2014 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)_I10
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
0.9055
Per class
Build CPU time
2.774
Build memory
1559784064
F measure
0.7974
Per class
Kappa
0.5964
KB relative information score
56.7747
Mean absolute error
0.0801
Mean prior absolute error
0.2021
Number of instances
99
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8027
Per class
Predictive accuracy
0.798
Prior entropy
1.0792
Recall
0.798
Per class
Relative absolute error
0.3964
Root mean prior squared error
0.3177
Root mean squared error
0.2738
Root relative squared error
0.8617
SciMark benchmark
874.7324