DEVELOPMENT... OpenML
Run
119844

Run 119844

Task 3719 (Supervised Classification) fishcatch 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
0.9729
Per class
Build CPU time
1.2119
Build memory
139786087.3418
F measure
0.962
Per class
Kappa
0.9208
KB relative information score
145.1584
Mean absolute error
0.038
Mean prior absolute error
0.4797
Number of instances
158
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.962
Per class
Predictive accuracy
0.962
Prior entropy
0.971
Recall
0.962
Per class
Relative absolute error
0.0791
Root mean prior squared error
0.4896
Root mean squared error
0.1948
Root relative squared error
0.3979
SciMark benchmark
942.5053