DEVELOPMENT... OpenML
Run
124040

Run 124040

Task 3057 (Supervised Classification) SPECTF Uploaded 22-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LWL_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_LWL_DecisionStump(2)_I20
weka.AdaBoostM1_LWL_DecisionStump(2)_P100
weka.AdaBoostM1_LWL_DecisionStump(2)_S1
weka.AdaBoostM1_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_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
0.9052
Per class
Build CPU time
18.827
Build memory
990709256
F measure
0.8221
Per class
Kappa
0.5804
KB relative information score
59.7485
Mean absolute error
0.1824
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
0.833
Per class
Predictive accuracy
0.8174
Prior entropy
0.8464
Recall
0.8174
Per class
Relative absolute error
0.452
Root mean prior squared error
0.4525
Root mean squared error
0.3835
Root relative squared error
0.8474
SciMark benchmark
941.9296