DEVELOPMENT... OpenML
Run
124131

Run 124131

Task 3598 (Supervised Classification) fri_c0_250_50 Uploaded 22-12-2014 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
0.7952
Per class
Build CPU time
38.6909
Build memory
22099982.4
F measure
0.7155
Per class
Kappa
0.4282
KB relative information score
107.2238
Mean absolute error
0.2839
Mean prior absolute error
0.498
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7156
Per class
Predictive accuracy
0.716
Prior entropy
0.9971
Recall
0.716
Per class
Relative absolute error
0.5701
Root mean prior squared error
0.499
Root mean squared error
0.5114
Root relative squared error
1.0248
SciMark benchmark
923.9118