DEVELOPMENT... OpenML
Run
120090

Run 120090

Task 36 (Supervised Classification) segment 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)_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
0.9937
Per class
Build CPU time
228.4815
Build memory
2543590888
F measure
0.9849
Per class
Kappa
0.9823
KB relative information score
2272.4624
Mean absolute error
0.0044
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9849
Per class
Predictive accuracy
0.9848
Prior entropy
2.8074
Recall
0.9848
Per class
Relative absolute error
0.0178
Root mean prior squared error
0.3499
Root mean squared error
0.0646
Root relative squared error
0.1846
SciMark benchmark
924.2473