DEVELOPMENT... OpenML
Run
116885

Run 116885

Task 21 (Supervised Classification) car Uploaded 10-12-2014 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)_I80
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
0.9993
Per class
Build CPU time
24.4713
Build memory
485321408.4537
F measure
0.989
Per class
Kappa
0.9761
KB relative information score
1673.5236
Mean absolute error
0.008
Mean prior absolute error
0.229
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9891
Per class
Predictive accuracy
0.989
Prior entropy
1.2099
Recall
0.989
Per class
Relative absolute error
0.0351
Root mean prior squared error
0.3381
Root mean squared error
0.0687
Root relative squared error
0.2031
SciMark benchmark
914.1182