DEVELOPMENT... OpenML
Run
122649

Run 122649

Task 3754 (Supervised Classification) sleuth_case1202 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
0.848
Per class
Build CPU time
3.6622
Build memory
41689806.3656
F measure
0.7951
Per class
Kappa
0.5672
KB relative information score
51.0274
Mean absolute error
0.2098
Mean prior absolute error
0.475
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7948
Per class
Predictive accuracy
0.7957
Prior entropy
0.9645
Recall
0.7957
Per class
Relative absolute error
0.4416
Root mean prior squared error
0.4871
Root mean squared error
0.4542
Root relative squared error
0.9325
SciMark benchmark
931.6517

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