DEVELOPMENT... OpenML
Run
116398

Run 116398

Task 16 (Supervised Classification) mfeat-karhunen Uploaded 09-12-2014 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)_I160
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
0.9907
Per class
Build CPU time
89.982
Build memory
399976194.4
F measure
0.8834
Per class
Kappa
0.8706
KB relative information score
1603.52
Mean absolute error
0.0561
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8839
Per class
Predictive accuracy
0.8835
Prior entropy
3.3219
Recall
0.8835
Per class
Relative absolute error
0.3117
Root mean prior squared error
0.3
Root mean squared error
0.1386
Root relative squared error
0.4621
SciMark benchmark
924.2473