DEVELOPMENT... OpenML
Run
95234

Run 95234

Task 289 (Supervised Classification) iris Uploaded 08-12-2014 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)_I10
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
0.9911
Per class
Build CPU time
0.003
Build memory
303653920
F measure
0.9592
Per class
Kappa
0.9388
KB relative information score
43.8535
Mean absolute error
0.0605
Mean prior absolute error
0.4444
Number of instances
49
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9637
Per class
Predictive accuracy
0.9592
Prior entropy
1.585
Recall
0.9592
Per class
Relative absolute error
0.136
Root mean prior squared error
0.4714
Root mean squared error
0.1544
Root relative squared error
0.3276
SciMark benchmark
945.4151