DEVELOPMENT... OpenML
Run
122413

Run 122413

Task 2352 (Supervised Classification) meta_all.arff Uploaded 14-12-2014 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)_I160
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
0.7551
Per class
Build CPU time
14.979
Build memory
137383816
F measure
0.6625
Per class
Kappa
0.4103
KB relative information score
8.2786
Mean absolute error
0.1172
Mean prior absolute error
0.1912
Number of instances
23
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7246
Per class
Predictive accuracy
0.6522
Prior entropy
1.9094
Recall
0.6522
Per class
Relative absolute error
0.6129
Root mean prior squared error
0.2919
Root mean squared error
0.3406
Root relative squared error
1.1668
SciMark benchmark
938.6131