DEVELOPMENT... OpenML
Run
119792

Run 119792

Task 3646 (Supervised Classification) rabe_265 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
0.5992
Per class
Build CPU time
0.2586
Build memory
850734285.9608
F measure
0.5822
Per class
Kappa
0.1314
KB relative information score
7.4154
Mean absolute error
0.4088
Mean prior absolute error
0.485
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5802
Per class
Predictive accuracy
0.5882
Prior entropy
0.9791
Recall
0.5882
Per class
Relative absolute error
0.8429
Root mean prior squared error
0.4922
Root mean squared error
0.5933
Root relative squared error
1.2054
SciMark benchmark
920.2874