DEVELOPMENT... OpenML
Run
118395

Run 118395

Task 9 (Supervised Classification) autos 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)_I10
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
0.9338
Per class
Build CPU time
1.6952
Build memory
505421054.9854
F measure
0.8065
Per class
Kappa
0.7514
KB relative information score
144.6184
Mean absolute error
0.0788
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8118
Per class
Predictive accuracy
0.8098
Prior entropy
2.3268
Recall
0.8098
Per class
Relative absolute error
0.3567
Root mean prior squared error
0.3318
Root mean squared error
0.2092
Root relative squared error
0.6307
SciMark benchmark
945.0532