DEVELOPMENT... OpenML
Run
117766

Run 117766

Task 3737 (Supervised Classification) fri_c3_250_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)_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
0.9174
Per class
Build CPU time
3.8061
Build memory
963180744.8
F measure
0.8472
Per class
Kappa
0.6875
KB relative information score
173.415
Mean absolute error
0.1483
Mean prior absolute error
0.4908
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8481
Per class
Predictive accuracy
0.848
Prior entropy
0.9868
Recall
0.848
Per class
Relative absolute error
0.3021
Root mean prior squared error
0.4954
Root mean squared error
0.3723
Root relative squared error
0.7516
SciMark benchmark
924.6733