DEVELOPMENT... OpenML
Run
124384

Run 124384

Task 3877 (Supervised Classification) analcatdata_dmft Uploaded 23-12-2014 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)_I20
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
0.4948
Per class
Build CPU time
8.6196
Build memory
191337084.537
F measure
0.7095
Per class
Kappa
-0.0346
KB relative information score
-139.871
Mean absolute error
0.3137
Mean prior absolute error
0.3138
Number of instances
797
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.6556
Per class
Predictive accuracy
0.7829
Prior entropy
0.7123
Recall
0.7829
Per class
Relative absolute error
0.9997
Root mean prior squared error
0.3958
Root mean squared error
0.4281
Root relative squared error
1.0816
SciMark benchmark
872.1114