DEVELOPMENT... OpenML
Run
116435

Run 116435

Task 1768 (Supervised Classification) labor Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I160
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9045
Per class
Build CPU time
0.0401
Build memory
1203186912.1123
F measure
0.8773
Per class
Kappa
0.731
KB relative information score
196.3427
Mean absolute error
0.1386
Mean prior absolute error
0.457
Number of instances
285
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8775
Per class
Predictive accuracy
0.8772
Prior entropy
0.9393
Recall
0.8772
Per class
Relative absolute error
0.3033
Root mean prior squared error
0.4773
Root mean squared error
0.3414
Root relative squared error
0.7154
SciMark benchmark
893.4088