DEVELOPMENT... OpenML
Run
124911

Run 124911

Task 3804 (Supervised Classification) lowbwt Uploaded 24-12-2014 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)_I10
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
0.8611
Per class
Build CPU time
0.6531
Build memory
31510207.7037
F measure
0.8246
Per class
Kappa
0.6484
KB relative information score
107.7238
Mean absolute error
0.2219
Mean prior absolute error
0.4989
Number of instances
189
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8276
Per class
Predictive accuracy
0.8254
Prior entropy
0.9984
Recall
0.8254
Per class
Relative absolute error
0.4449
Root mean prior squared error
0.4994
Root mean squared error
0.3783
Root relative squared error
0.7575
SciMark benchmark
899.4388