DEVELOPMENT... OpenML
Run
166305

Run 166305

Task 59 (Supervised Classification) iris Uploaded 18-02-2015 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(12)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(12)_P100
weka.AdaBoostM1_DecisionStump(12)_S1
weka.AdaBoostM1_DecisionStump(12)_I20
weka.AdaBoostM1_DecisionStump(12)_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.

22 Evaluation measures

Area under ROC curve
0.9817
Per class
F measure
0.9533
Per class
Kappa
0.93
KB relative information score
137.9499
Mean absolute error
0.0418
Mean prior absolute error
0.4444
Number of instances
150
Per class
OS information
[Oracle Corporation, 1.7.0_04, x86_64, Mac OS X, 10.10.2]
Precision
0.9534
Per class
Predictive accuracy
0.9533
Prior entropy
1.585
Recall
0.9533
Per class
Relative absolute error
0.094
Root mean prior squared error
0.4714
Root mean squared error
0.1639
Root relative squared error
0.3477
SciMark benchmark
1289.6995
UserCPU time millis
5.905
UserCPU time millis testing
0.618
UserCPU time millis training
5.287