DEVELOPMENT... OpenML
Run
118795

Run 118795

Task 3753 (Supervised Classification) cloud 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
0.8388
Per class
Build CPU time
0.0537
Build memory
427805702.8889
F measure
0.845
Per class
Kappa
0.617
KB relative information score
62.5845
Mean absolute error
0.1662
Mean prior absolute error
0.4185
Number of instances
108
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8501
Per class
Predictive accuracy
0.8519
Prior entropy
0.8813
Recall
0.8519
Per class
Relative absolute error
0.3971
Root mean prior squared error
0.4566
Root mean squared error
0.3657
Root relative squared error
0.8009
SciMark benchmark
933.4498