DEVELOPMENT... OpenML
Run
124737

Run 124737

Task 3607 (Supervised Classification) rmftsa_sleepdata 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
0.8051
Per class
Build CPU time
7.9771
Build memory
362450616.4609
F measure
0.7399
Per class
Kappa
0.4802
KB relative information score
347.2587
Mean absolute error
0.3444
Mean prior absolute error
0.5
Number of instances
1024
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.7412
Per class
Predictive accuracy
0.7402
Prior entropy
1
Recall
0.7402
Per class
Relative absolute error
0.6889
Root mean prior squared error
0.5
Root mean squared error
0.4249
Root relative squared error
0.8499
SciMark benchmark
872.1114