DEVELOPMENT... OpenML
Run
121368

Run 121368

Task 3496 (Supervised Classification) SPECTF Uploaded 11-12-2014 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)_I80
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
0.9091
Per class
Build CPU time
68.2115
Build memory
1248762798.6934
F measure
0.9099
Per class
Kappa
0.7774
KB relative information score
259.4296
Mean absolute error
0.0923
Mean prior absolute error
0.3968
Number of instances
349
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.914
Per class
Predictive accuracy
0.9083
Prior entropy
0.8464
Recall
0.9083
Per class
Relative absolute error
0.2327
Root mean prior squared error
0.4451
Root mean squared error
0.3021
Root relative squared error
0.6788
SciMark benchmark
932.084