DEVELOPMENT... OpenML
Run
124943

Run 124943

Task 3837 (Supervised Classification) hayes-roth Uploaded 24-12-2014 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)_I10
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
0.8955
Per class
Build CPU time
0.2667
Build memory
105998669.4545
F measure
0.8023
Per class
Kappa
0.5816
KB relative information score
68.638
Mean absolute error
0.2304
Mean prior absolute error
0.4746
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8019
Per class
Predictive accuracy
0.803
Prior entropy
0.9635
Recall
0.803
Per class
Relative absolute error
0.4855
Root mean prior squared error
0.4869
Root mean squared error
0.3676
Root relative squared error
0.7549
SciMark benchmark
942.3945