DEVELOPMENT... OpenML
Run
95135

Run 95135

Task 21 (Supervised Classification) car 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
0.8703
Per class
Build CPU time
0.0232
Build memory
279914275.9306
F measure
0.5768
Per class
KB relative information score
-268.1323
Mean absolute error
0.2752
Mean prior absolute error
0.229
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4903
Per class
Predictive accuracy
0.7002
Prior entropy
1.2099
Recall
0.7002
Per class
Relative absolute error
1.2017
Root mean prior squared error
0.3381
Root mean squared error
0.3344
Root relative squared error
0.989
SciMark benchmark
945.4151