DEVELOPMENT... OpenML
Run
95328

Run 95328

Task 3641 (Supervised Classification) fri_c2_100_25 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
0.796
Per class
Build CPU time
0.0129
Build memory
126151563.2
F measure
0.7592
Per class
Kappa
0.5076
KB relative information score
43.2201
Mean absolute error
0.287
Mean prior absolute error
0.4904
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.759
Per class
Predictive accuracy
0.76
Prior entropy
0.9864
Recall
0.76
Per class
Relative absolute error
0.5852
Root mean prior squared error
0.4951
Root mean squared error
0.4431
Root relative squared error
0.895
SciMark benchmark
933.0871