DEVELOPMENT... OpenML
Run
125011

Run 125011

Task 3914 (Supervised Classification) ar6 Uploaded 25-12-2014 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
0.676
Per class
Build CPU time
1.0399
Build memory
1102189312
F measure
0.8379
Per class
Kappa
0.2702
KB relative information score
19.6107
Mean absolute error
0.1596
Mean prior absolute error
0.2577
Number of instances
101
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8575
Per class
Predictive accuracy
0.8713
Prior entropy
0.623
Recall
0.8713
Per class
Relative absolute error
0.6193
Root mean prior squared error
0.3557
Root mean squared error
0.3486
Root relative squared error
0.98
SciMark benchmark
943.5504