DEVELOPMENT... OpenML
Run
105367

Run 105367

Task 3557 (Supervised Classification) schizo 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
0.9138
Per class
Build CPU time
0.2598
Build memory
1314845981.6
F measure
0.8792
Per class
Kappa
0.7579
KB relative information score
232.5645
Mean absolute error
0.1639
Mean prior absolute error
0.4992
Number of instances
340
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8802
Per class
Predictive accuracy
0.8794
Prior entropy
0.9988
Recall
0.8794
Per class
Relative absolute error
0.3284
Root mean prior squared error
0.4996
Root mean squared error
0.3293
Root relative squared error
0.6592
SciMark benchmark
943.521