DEVELOPMENT... OpenML
Run
108864

Run 108864

Task 3911 (Supervised Classification) ar4 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
0.819
Per class
Build CPU time
0.1078
Build memory
439120862.5794
F measure
0.8018
Per class
Kappa
0.3416
KB relative information score
26.3335
Mean absolute error
0.1905
Mean prior absolute error
0.3076
Number of instances
107
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8
Per class
Predictive accuracy
0.8037
Prior entropy
0.707
Recall
0.8037
Per class
Relative absolute error
0.6195
Root mean prior squared error
0.3899
Root mean squared error
0.4189
Root relative squared error
1.0744
SciMark benchmark
933.442