DEVELOPMENT... OpenML
Run
116974

Run 116974

Task 1773 (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)_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
0.8758
Per class
Build CPU time
5.9504
Build memory
301800684.8312
F measure
0.7571
Per class
Kappa
0.6851
KB relative information score
705.5297
Mean absolute error
0.0694
Mean prior absolute error
0.2209
Number of instances
1025
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7572
Per class
Predictive accuracy
0.759
Prior entropy
2.3268
Recall
0.759
Per class
Relative absolute error
0.3141
Root mean prior squared error
0.3318
Root mean squared error
0.2584
Root relative squared error
0.7789
SciMark benchmark
899.2335

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