DEVELOPMENT... OpenML
Run
123637

Run 123637

Task 3719 (Supervised Classification) fishcatch Uploaded 20-12-2014 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)_I40
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
0.9643
Per class
Build CPU time
3.075
Build memory
815676928.8608
F measure
0.9434
Per class
Kappa
0.8828
KB relative information score
139.5857
Mean absolute error
0.0544
Mean prior absolute error
0.4797
Number of instances
158
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9456
Per class
Predictive accuracy
0.943
Prior entropy
0.971
Recall
0.943
Per class
Relative absolute error
0.1133
Root mean prior squared error
0.4896
Root mean squared error
0.2297
Root relative squared error
0.4692
SciMark benchmark
943.521