DEVELOPMENT... OpenML
Run
108739

Run 108739

Task 3753 (Supervised Classification) cloud Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_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_DecisionStump(2)_I160
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_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
0.8884
Per class
Build CPU time
0.0421
Build memory
809773799.2593
F measure
0.917
Per class
Kappa
0.802
KB relative information score
82.2334
Mean absolute error
0.0945
Mean prior absolute error
0.4185
Number of instances
108
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9176
Per class
Predictive accuracy
0.9167
Prior entropy
0.8813
Recall
0.9167
Per class
Relative absolute error
0.2258
Root mean prior squared error
0.4566
Root mean squared error
0.2921
Root relative squared error
0.6398
SciMark benchmark
923.3659