DEVELOPMENT... OpenML
Run
117805

Run 117805

Task 3796 (Supervised Classification) fri_c4_250_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
0.8517
Per class
Build CPU time
2.1646
Build memory
212345928
F measure
0.8272
Per class
Kappa
0.6511
KB relative information score
162.8202
Mean absolute error
0.1728
Mean prior absolute error
0.4962
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
0.8286
Per class
Predictive accuracy
0.828
Prior entropy
0.9945
Recall
0.828
Per class
Relative absolute error
0.3483
Root mean prior squared error
0.4981
Root mean squared error
0.4099
Root relative squared error
0.823
SciMark benchmark
902.712