DEVELOPMENT... OpenML
Run
122113

Run 122113

Task 3672 (Supervised Classification) kin8nm Uploaded 13-12-2014 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)_I160
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
0.894
Per class
Build CPU time
999.1416
Build memory
1689138017.5332
F measure
0.8794
Per class
Kappa
0.7587
KB relative information score
6203.2828
Mean absolute error
0.1214
Mean prior absolute error
0.4998
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8794
Per class
Predictive accuracy
0.8794
Prior entropy
0.9998
Recall
0.8794
Per class
Relative absolute error
0.2429
Root mean prior squared error
0.4999
Root mean squared error
0.346
Root relative squared error
0.6922
SciMark benchmark
908.8705