DEVELOPMENT... OpenML
Run
123969

Run 123969

Task 3841 (Supervised Classification) mfeat-factors Uploaded 22-12-2014 by Felicia West
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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)_I40
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
0.9925
Per class
Build CPU time
12645.0761
Build memory
789054464.8
F measure
0.9965
Per class
Kappa
0.9802
KB relative information score
1944.7173
Mean absolute error
0.0034
Mean prior absolute error
0.1803
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9965
Per class
Predictive accuracy
0.9965
Prior entropy
0.4703
Recall
0.9965
Per class
Relative absolute error
0.0191
Root mean prior squared error
0.3
Root mean squared error
0.0574
Root relative squared error
0.1915
SciMark benchmark
945.5885