DEVELOPMENT... OpenML
Run
121607

Run 121607

Task 3799 (Supervised Classification) fri_c3_500_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)_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
0.9323
Per class
Build CPU time
21.3677
Build memory
1575200651.2
F measure
0.9139
Per class
Kappa
0.8262
KB relative information score
410.9212
Mean absolute error
0.0883
Mean prior absolute error
0.4961
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9141
Per class
Predictive accuracy
0.914
Prior entropy
0.9945
Recall
0.914
Per class
Relative absolute error
0.178
Root mean prior squared error
0.4981
Root mean squared error
0.2936
Root relative squared error
0.5895
SciMark benchmark
931.9671