DEVELOPMENT... OpenML
Run
120424

Run 120424

Task 3706 (Supervised Classification) stock 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
0.9759
Per class
Build CPU time
14.0882
Build memory
118773548.8
F measure
0.9642
Per class
Kappa
0.9284
KB relative information score
881.0239
Mean absolute error
0.0363
Mean prior absolute error
0.4996
Number of instances
950
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9643
Per class
Predictive accuracy
0.9642
Prior entropy
0.9995
Recall
0.9642
Per class
Relative absolute error
0.0727
Root mean prior squared error
0.4998
Root mean squared error
0.1871
Root relative squared error
0.3744
SciMark benchmark
938.1146