DEVELOPMENT... OpenML
Run
124875

Run 124875

Task 3761 (Supervised Classification) hip 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
0.8269
Per class
Build CPU time
0.0995
Build memory
36386462.8148
F measure
0.7772
Per class
Kappa
0.5537
KB relative information score
30.3125
Mean absolute error
0.2226
Mean prior absolute error
0.4993
Number of instances
54
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7787
Per class
Predictive accuracy
0.7778
Prior entropy
0.9991
Recall
0.7778
Per class
Relative absolute error
0.4458
Root mean prior squared error
0.4997
Root mean squared error
0.4168
Root relative squared error
0.8342
SciMark benchmark
929.5397