DEVELOPMENT... OpenML
Run
120876

Run 120876

Task 3598 (Supervised Classification) fri_c0_250_50 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
0.8289
Per class
Build CPU time
22.3364
Build memory
1518483342.4
F measure
0.7922
Per class
Kappa
0.5831
KB relative information score
146.0737
Mean absolute error
0.2067
Mean prior absolute error
0.498
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
0.7927
Per class
Predictive accuracy
0.792
Prior entropy
0.9971
Recall
0.792
Per class
Relative absolute error
0.4152
Root mean prior squared error
0.499
Root mean squared error
0.4465
Root relative squared error
0.8949
SciMark benchmark
945.0554