DEVELOPMENT... OpenML
Run
108647

Run 108647

Task 3641 (Supervised Classification) fri_c2_100_25 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
0.7781
Per class
Build CPU time
0.1319
Build memory
149232260.8
F measure
0.7406
Per class
Kappa
0.4726
KB relative information score
48.058
Mean absolute error
0.2521
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
0.7419
Per class
Predictive accuracy
0.74
Prior entropy
0.9864
Recall
0.74
Per class
Relative absolute error
0.514
Root mean prior squared error
0.4951
Root mean squared error
0.483
Root relative squared error
0.9756
SciMark benchmark
922.3661