DEVELOPMENT... OpenML
Run
120408

Run 120408

Task 3672 (Supervised Classification) kin8nm Uploaded 10-12-2014 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)_I20
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
0.9128
Per class
Build CPU time
118.2774
Build memory
136764613.5186
F measure
0.8501
Per class
Kappa
0.7002
KB relative information score
5738.6929
Mean absolute error
0.1497
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
0.8502
Per class
Predictive accuracy
0.8501
Prior entropy
0.9998
Recall
0.8501
Per class
Relative absolute error
0.2995
Root mean prior squared error
0.4999
Root mean squared error
0.3707
Root relative squared error
0.7414
SciMark benchmark
939.521