DEVELOPMENT... OpenML
Run
117756

Run 117756

Task 3732 (Supervised Classification) fri_c4_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)_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
0.8378
Per class
Build CPU time
0.8508
Build memory
262878064.8
F measure
0.7796
Per class
Kappa
0.5557
KB relative information score
54.399
Mean absolute error
0.2266
Mean prior absolute error
0.4969
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
0.7797
Per class
Predictive accuracy
0.78
Prior entropy
0.9956
Recall
0.78
Per class
Relative absolute error
0.4561
Root mean prior squared error
0.4984
Root mean squared error
0.455
Root relative squared error
0.9129
SciMark benchmark
937.279