DEVELOPMENT... OpenML
Run
122481

Run 122481

Task 3552 (Supervised Classification) analcatdata_creditscore 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
0.9721
Per class
Build CPU time
3.2052
Build memory
30512982.4
F measure
0.98
Per class
Kappa
0.9493
KB relative information score
93.6301
Mean absolute error
0.0208
Mean prior absolute error
0.3963
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.98
Per class
Predictive accuracy
0.98
Prior entropy
0.8479
Recall
0.98
Per class
Relative absolute error
0.0524
Root mean prior squared error
0.444
Root mean squared error
0.1415
Root relative squared error
0.3186
SciMark benchmark
919.0358