DEVELOPMENT... OpenML
Run
105673

Run 105673

Task 3915 (Supervised Classification) kc3 Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.7384
Per class
Build CPU time
0.6235
Build memory
1108467739.4935
F measure
0.867
Per class
Kappa
0.1293
KB relative information score
17.9136
Mean absolute error
0.1194
Mean prior absolute error
0.1716
Number of instances
458
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8548
Per class
Predictive accuracy
0.8843
Prior entropy
0.4551
Recall
0.8843
Per class
Relative absolute error
0.6961
Root mean prior squared error
0.2917
Root mean squared error
0.327
Root relative squared error
1.121
SciMark benchmark
933.1799

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