DEVELOPMENT... OpenML
Run
121010

Run 121010

Task 3785 (Supervised Classification) fri_c2_100_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
0.7502
Per class
Build CPU time
3.6168
Build memory
1828556638.4
F measure
0.7311
Per class
Kappa
0.4512
KB relative information score
43.878
Mean absolute error
0.2699
Mean prior absolute error
0.4875
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7335
Per class
Predictive accuracy
0.73
Prior entropy
0.9822
Recall
0.73
Per class
Relative absolute error
0.5537
Root mean prior squared error
0.4936
Root mean squared error
0.5094
Root relative squared error
1.0321
SciMark benchmark
916.8903