DEVELOPMENT... OpenML
Run
108664

Run 108664

Task 3653 (Supervised Classification) triazines 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
0.8582
Per class
Build CPU time
0.2223
Build memory
586770707.5269
F measure
0.772
Per class
Kappa
0.5274
KB relative information score
87.1997
Mean absolute error
0.2643
Mean prior absolute error
0.4854
Number of instances
186
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7728
Per class
Predictive accuracy
0.7742
Prior entropy
0.979
Recall
0.7742
Per class
Relative absolute error
0.5444
Root mean prior squared error
0.4925
Root mean squared error
0.3885
Root relative squared error
0.7887
SciMark benchmark
916.8903