DEVELOPMENT... OpenML
Run
108625

Run 108625

Task 3610 (Supervised Classification) fri_c3_250_5 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
0.9454
Per class
Build CPU time
0.1263
Build memory
496820581.6
F measure
0.8877
Per class
Kappa
0.7713
KB relative information score
179.2953
Mean absolute error
0.1436
Mean prior absolute error
0.4919
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8879
Per class
Predictive accuracy
0.888
Prior entropy
0.9883
Recall
0.888
Per class
Relative absolute error
0.2919
Root mean prior squared error
0.4959
Root mean squared error
0.3069
Root relative squared error
0.6189
SciMark benchmark
945.0554