DEVELOPMENT... OpenML
Run
118365

Run 118365

Task 3911 (Supervised Classification) ar4 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
0.7141
Per class
Build CPU time
0.439
Build memory
572341806.0561
F measure
0.807
Per class
Kappa
0.3248
KB relative information score
34.1907
Mean absolute error
0.173
Mean prior absolute error
0.3076
Number of instances
107
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8013
Per class
Predictive accuracy
0.8224
Prior entropy
0.707
Recall
0.8224
Per class
Relative absolute error
0.5625
Root mean prior squared error
0.3899
Root mean squared error
0.4105
Root relative squared error
1.0528
SciMark benchmark
913.3372