DEVELOPMENT... OpenML
Run
122625

Run 122625

Task 3726 (Supervised Classification) sleuth_ex2016 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
0.6672
Per class
Build CPU time
5.0358
Build memory
462039831.6322
F measure
0.6317
Per class
Kappa
0.2623
KB relative information score
21.5289
Mean absolute error
0.3761
Mean prior absolute error
0.4994
Number of instances
87
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6319
Per class
Predictive accuracy
0.6322
Prior entropy
0.9992
Recall
0.6322
Per class
Relative absolute error
0.7531
Root mean prior squared error
0.4997
Root mean squared error
0.6075
Root relative squared error
1.2158
SciMark benchmark
937.5757