OpenML
25307

Run 25307

Task 59 (Supervised Classification) iris Uploaded 18-08-2014 by Joaquin Vanschoren
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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
0.9819
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0019
Cross-validation details (10-fold Crossvalidation)
Build memory
424979242.4
Cross-validation details (10-fold Crossvalidation)
F measure
0.9666
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.95
Cross-validation details (10-fold Crossvalidation)
KB relative information score
134.9792
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0592
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_55, x86_64, Mac OS X, 10.9.4]
Precision
0.9678
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9667
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9667
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1331
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1504
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.319
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1611.5675[986.56144423868311182.5437071395324641.2313116382861246.52405740593554000.9767730234757]