DEVELOPMENT... OpenML
Run
108466

Run 108466

Task 1773 (Supervised Classification) autos 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
0.6845
Per class
Build CPU time
0.0033
Build memory
75926913.4127
F measure
0.3244
Per class
Kappa
0.1986
KB relative information score
237.1401
Mean absolute error
0.1957
Mean prior absolute error
0.2209
Number of instances
1025
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2574
Per class
Predictive accuracy
0.439
Prior entropy
2.3268
Recall
0.439
Per class
Relative absolute error
0.8859
Root mean prior squared error
0.3318
Root mean squared error
0.3172
Root relative squared error
0.9561
SciMark benchmark
943.4024