DEVELOPMENT... OpenML
Run
124456

Run 124456

Task 34 (Supervised Classification) postoperative-patient-data 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
0.4584
Per class
Build CPU time
0.1122
Build memory
88360634.4
F measure
0.5907
Per class
Kappa
-0.0241
KB relative information score
2.877
Mean absolute error
0.2624
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.5624
Per class
Predictive accuracy
0.6333
Prior entropy
1.0305
Recall
0.6333
Per class
Relative absolute error
0.9142
Root mean prior squared error
0.3755
Root mean squared error
0.4453
Root relative squared error
1.1858
SciMark benchmark
872.1114