DEVELOPMENT... OpenML
Run
120932

Run 120932

Task 3658 (Supervised Classification) fri_c3_250_10 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)_I40
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
0.9195
Per class
Build CPU time
5.2818
Build memory
141752364
F measure
0.8878
Per class
Kappa
0.774
KB relative information score
194.4156
Mean absolute error
0.1099
Mean prior absolute error
0.4968
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8881
Per class
Predictive accuracy
0.888
Prior entropy
0.9955
Recall
0.888
Per class
Relative absolute error
0.2212
Root mean prior squared error
0.4984
Root mean squared error
0.3275
Root relative squared error
0.657
SciMark benchmark
936.1433