DEVELOPMENT... OpenML
Run
109429

Run 109429

Task 3706 (Supervised Classification) stock Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I40
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.9642
Per class
Build CPU time
0.0514
Build memory
125063491.2
F measure
0.9642
Per class
Kappa
0.9284
KB relative information score
880.438
Mean absolute error
0.0369
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
0.9642
Per class
Predictive accuracy
0.9642
Prior entropy
0.9995
Recall
0.9642
Per class
Relative absolute error
0.0738
Root mean prior squared error
0.4998
Root mean squared error
0.189
Root relative squared error
0.3781
SciMark benchmark
939.7233