DEVELOPMENT... OpenML
Run
105240

Run 105240

Task 1819 (Supervised Classification) vote 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
0.9709
Per class
Build CPU time
0.0383
Build memory
1339410681.8097
F measure
0.95
Per class
Kappa
0.8949
KB relative information score
1936.8515
Mean absolute error
0.0506
Mean prior absolute error
0.4742
Number of instances
2175
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9504
Per class
Predictive accuracy
0.9499
Prior entropy
0.9627
Recall
0.9499
Per class
Relative absolute error
0.1068
Root mean prior squared error
0.4869
Root mean squared error
0.22
Root relative squared error
0.4519
SciMark benchmark
947.4397