DEVELOPMENT... OpenML
Run
124398

Run 124398

Task 3891 (Supervised Classification) gina_agnostic Uploaded 23-12-2014 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)_I80
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
0.8896
Per class
Build CPU time
91762.1007
Build memory
1259272201.3818
F measure
0.878
Per class
Kappa
0.756
KB relative information score
2619.9335
Mean absolute error
0.1223
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8781
Per class
Predictive accuracy
0.878
Prior entropy
0.9998
Recall
0.878
Per class
Relative absolute error
0.2446
Root mean prior squared error
0.4999
Root mean squared error
0.3474
Root relative squared error
0.6948
SciMark benchmark
892.8005