DEVELOPMENT... OpenML
Run
122975

Run 122975

Task 3043 (Supervised Classification) sick 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
0.9727
Per class
Build CPU time
2911.551
Build memory
191677408
F measure
0.9812
Per class
Kappa
0.8455
KB relative information score
994.0652
Mean absolute error
0.0217
Mean prior absolute error
0.1193
Number of instances
1244
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9811
Per class
Predictive accuracy
0.9815
Prior entropy
0.3333
Recall
0.9815
Per class
Relative absolute error
0.1815
Root mean prior squared error
0.2482
Root mean squared error
0.1339
Root relative squared error
0.5396
SciMark benchmark
909.5718