DEVELOPMENT... OpenML
Run
95062

Run 95062

Task 266 (Supervised Classification) segment 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
0.7507
Per class
Build CPU time
0.012
Build memory
29456456
F measure
0.1174
Per class
Kappa
0.154
KB relative information score
234.3948
Mean absolute error
0.2108
Mean prior absolute error
0.2449
Number of instances
762
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0752
Per class
Predictive accuracy
0.2717
Prior entropy
2.8074
Recall
0.2717
Per class
Relative absolute error
0.8608
Root mean prior squared error
0.3499
Root mean squared error
0.3258
Root relative squared error
0.931
SciMark benchmark
945.1122