DEVELOPMENT... OpenML
Run
118658

Run 118658

Task 3598 (Supervised Classification) fri_c0_250_50 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
0.864
Per class
Build CPU time
1.0278
Build memory
400551199.2
F measure
0.8042
Per class
Kappa
0.6074
KB relative information score
146.6521
Mean absolute error
0.2068
Mean prior absolute error
0.498
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
0.805
Per class
Predictive accuracy
0.804
Prior entropy
0.9971
Recall
0.804
Per class
Relative absolute error
0.4154
Root mean prior squared error
0.499
Root mean squared error
0.4126
Root relative squared error
0.8269
SciMark benchmark
937.6343