DEVELOPMENT... OpenML
Run
122890

Run 122890

Task 1806 (Supervised Classification) haberman Uploaded 16-12-2014 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)_I80
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
0.5799
Per class
Build CPU time
3.0524
Build memory
976320140
F measure
0.6603
Per class
Kappa
0.1105
KB relative information score
74.3185
Mean absolute error
0.3366
Mean prior absolute error
0.39
Number of instances
1530
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6541
Per class
Predictive accuracy
0.668
Prior entropy
0.836
Recall
0.668
Per class
Relative absolute error
0.863
Root mean prior squared error
0.4412
Root mean squared error
0.5685
Root relative squared error
1.2886
SciMark benchmark
893.4088