DEVELOPMENT... OpenML
Run
118285

Run 118285

Task 3800 (Supervised Classification) fri_c3_500_50 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)_I20
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
0.9155
Per class
Build CPU time
4.3537
Build memory
765785699.2
F measure
0.8494
Per class
Kappa
0.6929
KB relative information score
340.7575
Mean absolute error
0.1561
Mean prior absolute error
0.4918
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8499
Per class
Predictive accuracy
0.85
Prior entropy
0.9882
Recall
0.85
Per class
Relative absolute error
0.3174
Root mean prior squared error
0.4959
Root mean squared error
0.3648
Root relative squared error
0.7357
SciMark benchmark
916.8516

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