DEVELOPMENT... OpenML
Run
105406

Run 105406

Task 3620 (Supervised Classification) fri_c0_100_5 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
0.8949
Per class
Build CPU time
0.0263
Build memory
1266650740.8
F measure
0.8597
Per class
Kappa
0.7173
KB relative information score
68.9676
Mean absolute error
0.1554
Mean prior absolute error
0.4969
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
0.8601
Per class
Predictive accuracy
0.86
Prior entropy
0.9956
Recall
0.86
Per class
Relative absolute error
0.3127
Root mean prior squared error
0.4984
Root mean squared error
0.3652
Root relative squared error
0.7327
SciMark benchmark
944.3832