DEVELOPMENT... OpenML
Run
118500

Run 118500

Task 1785 (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)_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
0.9945
Per class
Build CPU time
1.4689
Build memory
805914097.6
F measure
0.9528
Per class
Kappa
0.8973
KB relative information score
7544.6702
Mean absolute error
0.0335
Mean prior absolute error
0.229
Number of instances
8640
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9533
Per class
Predictive accuracy
0.9527
Prior entropy
1.2099
Recall
0.9527
Per class
Relative absolute error
0.1464
Root mean prior squared error
0.3381
Root mean squared error
0.1335
Root relative squared error
0.3947
SciMark benchmark
916.8516