DEVELOPMENT... OpenML
Run
122182

Run 122182

Task 3891 (Supervised Classification) gina_agnostic Uploaded 13-12-2014 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)_I20
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
0.9178
Per class
Build CPU time
22144.1347
Build memory
358355966.5813
F measure
0.8786
Per class
Kappa
0.7571
KB relative information score
2619.0225
Mean absolute error
0.1225
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
0.8786
Per class
Predictive accuracy
0.8786
Prior entropy
0.9998
Recall
0.8786
Per class
Relative absolute error
0.2451
Root mean prior squared error
0.4999
Root mean squared error
0.3426
Root relative squared error
0.6852
SciMark benchmark
937.9406