DEVELOPMENT... OpenML
Run
123822

Run 123822

Task 3921 (Supervised Classification) jEdit_4.0_4.2 Uploaded 21-12-2014 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
0.7997
Per class
Build CPU time
9.357
Build memory
743241546.1606
F measure
0.7154
Per class
Kappa
0.4306
KB relative information score
121.8391
Mean absolute error
0.2799
Mean prior absolute error
0.4998
Number of instances
274
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7155
Per class
Predictive accuracy
0.7153
Prior entropy
0.9997
Recall
0.7153
Per class
Relative absolute error
0.56
Root mean prior squared error
0.4999
Root mean squared error
0.4616
Root relative squared error
0.9235
SciMark benchmark
937.5757