DEVELOPMENT... OpenML
Run
117464

Run 117464

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)_I40
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
0.899
Per class
Build CPU time
3.1041
Build memory
74777675.5356
F measure
0.7348
Per class
Kappa
0.6576
KB relative information score
679.4329
Mean absolute error
0.0756
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
0.7335
Per class
Predictive accuracy
0.7376
Prior entropy
2.3268
Recall
0.7376
Per class
Relative absolute error
0.342
Root mean prior squared error
0.3318
Root mean squared error
0.2655
Root relative squared error
0.8003
SciMark benchmark
924.2473