DEVELOPMENT... OpenML
Run
124288

Run 124288

Task 3779 (Supervised Classification) fri_c3_100_5 Uploaded 23-12-2014 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)_I20
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
0.9089
Per class
Build CPU time
0.7408
Build memory
785974492
F measure
0.8298
Per class
Kappa
0.6542
KB relative information score
67.1054
Mean absolute error
0.1617
Mean prior absolute error
0.4929
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
0.8297
Per class
Predictive accuracy
0.83
Prior entropy
0.99
Recall
0.83
Per class
Relative absolute error
0.328
Root mean prior squared error
0.4964
Root mean squared error
0.3644
Root relative squared error
0.7342
SciMark benchmark
893.4088

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