DEVELOPMENT... OpenML
Run
119991

Run 119991

Task 3877 (Supervised Classification) analcatdata_dmft 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
0.4814
Per class
Build CPU time
2.6115
Build memory
1022118680.7428
F measure
0.686
Per class
Kappa
-0.0702
KB relative information score
-194.6842
Mean absolute error
0.3237
Mean prior absolute error
0.3138
Number of instances
797
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6628
Per class
Predictive accuracy
0.7139
Prior entropy
0.7123
Recall
0.7139
Per class
Relative absolute error
1.0315
Root mean prior squared error
0.3958
Root mean squared error
0.4547
Root relative squared error
1.1489
SciMark benchmark
924.6733