DEVELOPMENT... OpenML
Run
120978

Run 120978

Task 3725 (Supervised Classification) auto93 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
0.8655
Per class
Build CPU time
3.125
Build memory
1781908791.4839
F measure
0.8167
Per class
Kappa
0.6084
KB relative information score
55.7557
Mean absolute error
0.1828
Mean prior absolute error
0.4701
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8163
Per class
Predictive accuracy
0.8172
Prior entropy
0.9573
Recall
0.8172
Per class
Relative absolute error
0.3889
Root mean prior squared error
0.4845
Root mean squared error
0.4271
Root relative squared error
0.8815
SciMark benchmark
916.8903