DEVELOPMENT... OpenML
Run
122038

Run 122038

Task 3646 (Supervised Classification) rabe_265 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)_I160
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
0.7
Per class
Build CPU time
3.0511
Build memory
306859118.1176
F measure
0.6973
Per class
Kappa
0.3704
KB relative information score
19.5119
Mean absolute error
0.2956
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
0.7033
Per class
Predictive accuracy
0.7059
Prior entropy
0.9791
Recall
0.7059
Per class
Relative absolute error
0.6094
Root mean prior squared error
0.4922
Root mean squared error
0.5416
Root relative squared error
1.1005
SciMark benchmark
931.16