DEVELOPMENT... OpenML
Run
118649

Run 118649

Task 3587 (Supervised Classification) pwLinear 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
0.9248
Per class
Build CPU time
0.1359
Build memory
462834950.4
F measure
0.89
Per class
Kappa
0.7798
KB relative information score
151.8816
Mean absolute error
0.1218
Mean prior absolute error
0.4996
Number of instances
200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.89
Per class
Predictive accuracy
0.89
Prior entropy
0.9994
Recall
0.89
Per class
Relative absolute error
0.2438
Root mean prior squared error
0.4998
Root mean squared error
0.3244
Root relative squared error
0.6491
SciMark benchmark
913.3372