DEVELOPMENT... OpenML
Run
118158

Run 118158

Task 3641 (Supervised Classification) fri_c2_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)_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
0.8529
Per class
Build CPU time
0.3999
Build memory
1310869245.6
F measure
0.8388
Per class
Kappa
0.6698
KB relative information score
65.3872
Mean absolute error
0.1692
Mean prior absolute error
0.4904
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
0.8404
Per class
Predictive accuracy
0.84
Prior entropy
0.9864
Recall
0.84
Per class
Relative absolute error
0.345
Root mean prior squared error
0.4951
Root mean squared error
0.3986
Root relative squared error
0.8051
SciMark benchmark
923.3659