DEVELOPMENT... OpenML
Run
117176

Run 117176

Task 3634 (Supervised Classification) fri_c3_100_25 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
0.7402
Per class
Build CPU time
1.3814
Build memory
131514577.6
F measure
0.7097
Per class
Kappa
0.413
KB relative information score
41.066
Mean absolute error
0.2906
Mean prior absolute error
0.4951
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7095
Per class
Predictive accuracy
0.71
Prior entropy
0.9931
Recall
0.71
Per class
Relative absolute error
0.587
Root mean prior squared error
0.4975
Root mean squared error
0.5344
Root relative squared error
1.0741
SciMark benchmark
937.9603