DEVELOPMENT... OpenML
Run
117359

Run 117359

Task 3922 (Supervised Classification) desharnais 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)_I80
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
0.765
Per class
Build CPU time
0.6388
Build memory
287069746.963
F measure
0.7361
Per class
Kappa
0.5243
KB relative information score
44.2083
Mean absolute error
0.1701
Mean prior absolute error
0.3804
Number of instances
81
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7434
Per class
Predictive accuracy
0.7407
Prior entropy
1.3765
Recall
0.7407
Per class
Relative absolute error
0.4472
Root mean prior squared error
0.4348
Root mean squared error
0.4088
Root relative squared error
0.9403
SciMark benchmark
924.2473