DEVELOPMENT... OpenML
Run
108612

Run 108612

Task 3057 (Supervised Classification) SPECTF Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I160
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.9002
Per class
Build CPU time
0.628
Build memory
7254000
F measure
0.8802
Per class
Kappa
0.7129
KB relative information score
73.1751
Mean absolute error
0.1479
Mean prior absolute error
0.4035
Number of instances
115
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8845
Per class
Predictive accuracy
0.8783
Prior entropy
0.8464
Recall
0.8783
Per class
Relative absolute error
0.3667
Root mean prior squared error
0.4525
Root mean squared error
0.3444
Root relative squared error
0.7611
SciMark benchmark
934.8107